Paper Citation Record · LEDGER

ContextCite: Attributing Model Generation to Context

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2409.00729.

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

pith.paper-citation-record.v1
2409.00729 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:35:56.740603Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:56.176259Z

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 885ebea6-fa67-483e-a71c-60ab5588f4aa · inbound

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution cites this paper.

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution ContextCite: Attributing Model Generation to Context

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:35:56.740603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3471a611-05e3-498a-b2fb-271973c2f450 · inbound

Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks cites this paper.

Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks ContextCite: Attributing Model Generation to Context

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:32.383231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ed291a-80e1-4728-806f-23280fc26171 · inbound

Time-Reversal Provides Unsupervised Feedback to LLMs cites this paper.

Time-Reversal Provides Unsupervised Feedback to LLMs ContextCite: Attributing Model Generation to Context

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:06.563463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5e4803-2629-450a-8fc4-ff78ba8c1bee · inbound

LitLLMs, LLMs for Literature Review: Are we there yet? cites this paper.

LitLLMs, LLMs for Literature Review: Are we there yet? ContextCite: Attributing Model Generation to Context

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:26:52.860094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12c0bf8-a8f9-4c0a-8dfe-6d39ae6b549b · inbound

TokenShapley: Token Level Context Attribution with Shapley Value cites this paper.

TokenShapley: Token Level Context Attribution with Shapley Value ContextCite: Attributing Model Generation to Context

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:53:18.171958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf53ee1-6bef-42ba-b298-99258d791b4c · inbound

Tell Me Why: Designing an Explainable LLM-based Dialogue System for Student Problem Behavior Diagnosis cites this paper.

Tell Me Why: Designing an Explainable LLM-based Dialogue System for Student Problem Behavior Diagnosis ContextCite: Attributing Model Generation to Context

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:09.084498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3c75f98-3ddf-4777-99eb-8b2ae7ba01af · inbound

ProvenAI: Provenance-Native Traces of Evidence in Generated Answers cites this paper.

ProvenAI: Provenance-Native Traces of Evidence in Generated Answers ContextCite: Attributing Model Generation to Context

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:59:56.178268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 762d9c1c-9a6f-4017-b2c6-7b475ce45036 · inbound

How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation cites this paper.

How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation ContextCite: Attributing Model Generation to Context

Reference 4

Resolution: malformed identifier; arxiv_id, observed 2026-06-30T11:14:37.625838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dff72fb3-b543-49e0-9093-b40e8c72d1f9 · inbound

Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders cites this paper.

Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders ContextCite: Attributing Model Generation to Context

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T00:16:04.730849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.