Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:09.852254Z
Paper Citation Record · LEDGER
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering
As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.02323.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact1
- verified fuzzy2
- unresolved25
- parse uncertain0
- malformed identifier3
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d61363d7-9838-424f-899e-43f70d15bf07 · outbound
This paper cites Introducing GPT-5.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Introducing GPT-5
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.583483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b298e45c-780b-4586-b14d-6d900fbdd0cc · outbound
This paper cites Collins, Elizabeth Bourne, Gareth W.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Collins, Elizabeth Bourne, Gareth W
Reference 2
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T00:13:10.728440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 13969450-761e-4fba-8ee9-8d0119a67737 · outbound
This paper cites an unresolved cited work.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Unresolved cited work
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.594058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac23e0ac-f17f-4202-adaf-168130610960 · outbound
This paper cites Scott Armstrong and Kesten C.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Scott Armstrong and Kesten C
Reference 4
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T00:13:11.215161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b2968df-2329-44f8-8565-0b218318a221 · outbound
This paper cites Qwen Technical Report.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Qwen Technical Report
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.609370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af830595-aeed-4f6a-9711-30c8ad280d6d · outbound
This paper cites Guidelines for Empirical Studies in Software Engineering involving Large Language Models.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.615153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6c3f77f-b86a-46e9-8c87-f4fd4b95f685 · outbound
This paper cites Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes
Reference 7
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T00:13:09.620722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5135d28c-98a4-4f78-a285-0c948a1f3ecf · outbound
This paper cites Teaching Large Language Models to Self-Debug.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Teaching Large Language Models to Self-Debug
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.626214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0379e01-206a-4066-976f-dc1408aed65f · outbound
This paper cites an unresolved cited work.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.631559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa76207b-5dfb-4add-b76e-30fb4c5bff6f · outbound
This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering InCoder: A Generative Model for Code Infilling and Synthesis
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.637522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38bc2be2-d8ae-4540-95c0-82d456082abd · outbound
This paper cites BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.643548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59dfbd2e-3182-425c-91bd-6a49b464ef7c · outbound
This paper cites Polak, So Yeon Kim, MD Al Amin Shuvo, Hrishikesh Shridhar Deodhar, Jeongsoo Han, Dane Morgan, and Hyunseok Oh.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Polak, So Yeon Kim, MD Al Amin Shuvo, Hrishikesh Shridhar Deodhar, Jeongsoo Han, Dane Morgan, and Hyunseok Oh
Reference 12
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T00:13:10.359382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 232ac857-5013-4fbb-944b-4847c721eccd · outbound
This paper cites Self-Refine: Iterative Refinement with Self-Feedback.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Self-Refine: Iterative Refinement with Self-Feedback
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.653479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c203e5b-4723-45a8-a92e-1a3753fca3fe · outbound
This paper cites Kosmos: An AI Scientist for Autonomous Discovery.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Kosmos: An AI Scientist for Autonomous Discovery
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.657937Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1627eb6f-e3cf-4c2a-a042-41a1692501d6 · outbound
This paper cites an unresolved cited work.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Unresolved cited work
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.662782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8efe0c65-41c8-49f6-b979-ce1a3b29bcff · outbound
This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering AlphaEvolve: A coding agent for scientific and algorithmic discovery
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.668288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57f15fd3-cc9f-42a9-a492-367b6204dd80 · outbound
This paper cites an unresolved cited work.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Unresolved cited work
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.673129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb9a7cc9-f4ff-4190-9775-8489cbc3b9c1 · outbound
This paper cites 2009.Causality: models, reasoning, and inference.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering 2009.Causality: models, reasoning, and inference
Reference 18
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T00:13:11.106976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fa171f0c-386a-4308-b4cf-a89c905ecd5a · outbound
This paper cites Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.684077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a7eadfe-81da-435f-98f0-e3c9c2c107b5 · outbound
This paper cites Reddy and Parshin Shojaee.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Reddy and Parshin Shojaee
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.689130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d9e4064-f972-4562-a4f8-99cd05bd4692 · outbound
This paper cites Benchmarking Causal Study to Interpret Large Language Models for Source Code.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Benchmarking Causal Study to Interpret Large Language Models for Source Code
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T00:13:10.167430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0091e370-cd61-45c5-a485-eb39d99a5b7b · outbound
This paper cites Code Llama: Open Foundation Models for Code.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Code Llama: Open Foundation Models for Code
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.699085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 666ed2ef-c68a-4b7e-9225-ed3f2c21e5e7 · outbound
This paper cites 2025.ci4sesci: Causal Inference for Software Science.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering 2025.ci4sesci: Causal Inference for Software Science
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:13:10.992911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 44a86a67-c61d-4019-bcef-83fa346a58d3 · outbound
This paper cites DoWhy: An End-to-End Library for Causal Inference.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering DoWhy: An End-to-End Library for Causal Inference
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.709258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48880ed5-3b52-4212-86df-1b4eacbfd305 · outbound
This paper cites an unresolved cited work.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Unresolved cited work
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.714321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 014c5b3f-d5d4-4323-a4a8-19bc0ec55506 · outbound
This paper cites an unresolved cited work.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.719124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 116912dd-a87e-473b-8cb8-d91fac673335 · outbound
This paper cites Bayer, Aidan Acquah, Chetana Amancharla, Almog Barzilay-Siegal, Pablo Bermejo, Camille Bilodeau, Pablo Cárdenas Ramírez, Miles Cranmer, Ur- bano L.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Bayer, Aidan Acquah, Chetana Amancharla, Almog Barzilay-Siegal, Pablo Bermejo, Camille Bilodeau, Pablo Cárdenas Ramírez, Miles Cranmer, Ur- bano L
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:13:10.866523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f78a47fb-49e4-49ad-8554-81c8e130aaf0 · outbound
This paper cites an unresolved cited work.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Unresolved cited work
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.837356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d1bf11b-ef6d-40b9-8576-272b2ce230d4 · outbound
This paper cites arXiv:2510.26887 [cs.AI] https://arxiv.org/abs/2510.26887.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering arXiv:2510.26887 [cs.AI] https://arxiv.org/abs/2510.26887
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.832460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98417056-37bd-4c42-9094-3ed79330af91 · outbound
This paper cites Khan, Adnan Mahmud, Huck Yang, Alexander Lavin, Michael Levin, Jeremy Frey, Jared Dunnmon, James Evans, Alan Bundy, Saso Dzeroski, Jesper Tegner, and Hector Zenil.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Khan, Adnan Mahmud, Huck Yang, Alexander Lavin, Michael Levin, Jeremy Frey, Jared Dunnmon, James Evans, Alan Bundy, Saso Dzeroski, Jesper Tegner, and Hector Zenil
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.847527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac61bbe4-dfc0-4b2c-8b01-ec275212378d · outbound
This paper cites Ohlsson, Bj ¨rn Regnell, and Anders Wesslén.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Ohlsson, Bj ¨rn Regnell, and Anders Wesslén
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.842924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 198c6498-923a-4441-b2e7-86ed11de4ace · outbound
This paper cites an unresolved cited work.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Unresolved cited work
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.852254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca6b15a9-ae78-4ae3-a65f-aed863554a21 · outbound
This paper cites Can LLMs Replace Manual Annotation of Software Engineering Artifacts?.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:09.599246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.