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Paper Citation Record · LEDGER

Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.00708.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.00708 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:06:27.844021Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T17:08:12.437258Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dfa82a3d-622d-4171-9c0a-66f6eb1daea8 · inbound

Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.

Bias in Large Language Models: Origin, Evaluation, and Mitigation Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:08:12.439745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T17:08:09.267577Z digest=sha256:f39c603a18a8cce672836cdeb340f0ef038047e4b30ac6fd00c3101e77bd5fb4

Observation 2a8407de-de5f-4ac3-b3d0-59503440c3a6 · inbound

Interpreting Language Reward Models via Contrastive Explanations cites this paper.

Interpreting Language Reward Models via Contrastive Explanations Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T13:06:27.844021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:06:27.844021Z digest=sha256:f08f4852e0946794bda651cd6a9337b5844efe9a37544e7217577a5c210f2919

Observation b9c42b94-f518-4db5-9af6-6678ae074b95 · inbound

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations cites this paper.

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-04T09:08:57.521820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:08:57.521820Z digest=sha256:cf91afed716b16ff686a7d3cb5fbe593cf21c53c0c19b8e1a766a6c1253ca38c

Observation 58e9ff92-90ff-4929-8d30-d4c268faf61a · inbound

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise cites this paper.

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:56:07.211827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-08T16:54:17.663989Z digest=sha256:df7d26715844c1a71ed824f3c08c99f42e8ecadcc55ffbad093f14ceabe5afcc