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Paper Citation Record · LEDGER

The Attribution Contract: Feature Attribution for Generative Language Models

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2605.23080.

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

pith.paper-citation-record.v1
2605.23080 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:38:10.113987Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:36:58.852315Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:36:59.796110Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact12
  • verified fuzzy14
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3de0fef5-ba79-4fbe-a716-740a9a94bdf9 · outbound

This paper cites ContextCite: Attributing Model Generation to Context.

The Attribution Contract: Feature Attribution for Generative Language Models ContextCite: Attributing Model Generation to Context

Reference 1

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verified fuzzy
raw_fallback, observed 2026-07-08T12:44:54.094953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 77aa4bd2-ee79-47fa-ae86-a49f08f46b4d · outbound

This paper cites Sequential Integrated Gradients: a Simple but Effective Method for Explaining Language Models.

The Attribution Contract: Feature Attribution for Generative Language Models Sequential Integrated Gradients: a Simple but Effective Method for Explaining Language Models

Reference 2

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raw_fallback, observed 2026-07-08T12:44:54.091124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 15bca841-e974-446f-99a4-3ff59105ee25 · outbound

This paper cites Jacobian Scopes: token-level causal attributions in LLMs.

The Attribution Contract: Feature Attribution for Generative Language Models Jacobian Scopes: token-level causal attributions in LLMs

Reference 3

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verified exact
local_arxiv, observed 2026-06-30T16:44:56.190514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 54888ba2-ab70-4782-acfa-914056c25e15 · outbound

This paper cites Locating and Edit- ing Factual Associations in GPT.

The Attribution Contract: Feature Attribution for Generative Language Models Locating and Edit- ing Factual Associations in GPT

Reference 4

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verified fuzzy
raw_fallback, observed 2026-07-08T12:44:54.069217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T16:38:10.113987Z digest=sha256:d76b9931c8a1a04f97db346e48e8e292be1854181ce2b6fb6abcd90a38f22fc4

Observation 649eddfc-8b2c-4893-991a-7f1f87347fdd · outbound

This paper cites Markosyan, Diego Garcia-Olano, and Narine Kokhlikyan.

The Attribution Contract: Feature Attribution for Generative Language Models Markosyan, Diego Garcia-Olano, and Narine Kokhlikyan

Reference 5

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raw_fallback, observed 2026-07-08T12:44:54.074662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2ed22b4d-0bba-4945-92bb-ed7b6571fdce · outbound

This paper cites Large Language Diffusion Models.

The Attribution Contract: Feature Attribution for Generative Language Models Large Language Diffusion Models

Reference 6

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raw_fallback, observed 2026-07-08T12:44:54.087463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 548373ca-ab89-4257-99cd-84947f09a91f · outbound

This paper cites Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution.

The Attribution Contract: Feature Attribution for Generative Language Models Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Reference 7

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raw_fallback, observed 2026-07-08T12:44:54.089242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T16:38:10.113987Z digest=sha256:2e421be46e67f882957d360a8591cbdf6cbe47ffa0c12d2731ed8ad758fafff7

Observation c3070ba2-157f-4d4e-86c3-6f54ec4d2b06 · outbound

This paper cites Continuous Diffusion Model for Language Modeling.

The Attribution Contract: Feature Attribution for Generative Language Models Continuous Diffusion Model for Language Modeling

Reference 8

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arxiv_id, observed 2026-06-30T16:44:56.197936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1b4edc06-eb52-4a93-a13d-3add5aa0d54f · outbound

This paper cites Bastian, and Sumit Kumar Jha.

The Attribution Contract: Feature Attribution for Generative Language Models Bastian, and Sumit Kumar Jha

Reference 9

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raw_fallback, observed 2026-07-08T12:44:54.072881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T16:38:10.113987Z digest=sha256:2285c6012e4e2ecfffa2a9df9b46989a18d3fb41d85699fd53cf8dd116611776

Observation 6780daff-7d62-443b-99ea-69ee75efdb22 · outbound

This paper cites Measuring Attribution in Natural Language Generation Models.Computational Linguistics, 49(4):777–840.

The Attribution Contract: Feature Attribution for Generative Language Models Measuring Attribution in Natural Language Generation Models.Computational Linguistics, 49(4):777–840

Reference 10

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raw_fallback, observed 2026-07-08T12:44:54.093118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3f3532cc-a81c-46f9-815e-ea9603128c04 · outbound

This paper cites Discretized Integrated Gradients for Explaining Language Models.

The Attribution Contract: Feature Attribution for Generative Language Models Discretized Integrated Gradients for Explaining Language Models

Reference 11

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raw_fallback, observed 2026-07-08T12:44:54.082152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f832d6f7-f1b9-425f-adb1-54297bf42020 · outbound

This paper cites Inseq: An Interpretability Toolkit for Sequence Generation Models.

The Attribution Contract: Feature Attribution for Generative Language Models Inseq: An Interpretability Toolkit for Sequence Generation Models

Reference 12

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raw_fallback, observed 2026-07-08T12:44:54.083920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 919ace76-48f2-436f-bf3c-bfec3c962a4d · outbound

This paper cites Axiomatic Attribution for Deep Networks.

The Attribution Contract: Feature Attribution for Generative Language Models Axiomatic Attribution for Deep Networks

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b008f659-139d-45dc-aeba-d547cf1830e1 · outbound

This paper cites What the DAAM: Interpreting Stable Diffusion Using Cross Attention.

The Attribution Contract: Feature Attribution for Generative Language Models What the DAAM: Interpreting Stable Diffusion Using Cross Attention

Reference 14

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raw_fallback, observed 2026-07-08T12:44:54.085625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 38b75823-a5a1-4fe5-a787-cc7d3592cf0f · outbound

This paper cites Explaining the Reasoning of Large Language Models Using Attribution Graphs.

The Attribution Contract: Feature Attribution for Generative Language Models Explaining the Reasoning of Large Language Models Using Attribution Graphs

Reference 15

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arxiv_id, observed 2026-06-30T16:44:56.200302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 021ee70f-fc7c-4dff-9342-79402588f73b · outbound

This paper cites Unifying Corroborative and Contributive Attributions in Large Language Models.

The Attribution Contract: Feature Attribution for Generative Language Models Unifying Corroborative and Contributive Attributions in Large Language Models

Reference 16

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arxiv_id, observed 2026-06-30T16:44:56.202610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1fcdbcff-2277-4c5c-a05b-79100de73986 · outbound

This paper cites Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability.

The Attribution Contract: Feature Attribution for Generative Language Models Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability

Reference 17

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arxiv_id, observed 2026-06-30T16:44:56.183851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8d94ccad-82ae-4ecb-bab7-295ff4b78c42 · outbound

This paper cites ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models.

The Attribution Contract: Feature Attribution for Generative Language Models ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models

Reference 18

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arxiv_id, observed 2026-06-30T16:44:56.181431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3fb01299-7df1-439c-9813-cec3d87c9f13 · outbound

This paper cites Impossibility Theorems for Feature Attribution.Proceedings of the National Academy of Sciences, 121(2):e2304406120, 2024.https://www.pnas.org/doi/10.1073/pnas.2304406120.

The Attribution Contract: Feature Attribution for Generative Language Models Impossibility Theorems for Feature Attribution.Proceedings of the National Academy of Sciences, 121(2):e2304406120, 2024.https://www.pnas.org/doi/10.1073/pnas.2304406120

Reference 19

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doi, observed 2026-06-30T16:44:55.653426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b0b47c45-755f-4817-adde-5a8c0205d0ed · outbound

This paper cites The Effectiveness of Feature Attribution Methods and Its Correlation with Automatic Evaluation Scores.

The Attribution Contract: Feature Attribution for Generative Language Models The Effectiveness of Feature Attribution Methods and Its Correlation with Automatic Evaluation Scores

Reference 20

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raw_fallback, observed 2026-07-08T12:44:54.080260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c72c78d4-97a2-497f-9c8a-dc100802f6f8 · outbound

This paper cites Post Hoc Explanations May Be Ineffective for Detecting Unknown Spurious Correlation.

The Attribution Contract: Feature Attribution for Generative Language Models Post Hoc Explanations May Be Ineffective for Detecting Unknown Spurious Correlation

Reference 21

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raw_fallback, observed 2026-07-08T12:44:54.076520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b2d3b680-d93a-4967-b21a-4928340a7e77 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

The Attribution Contract: Feature Attribution for Generative Language Models Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 22

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local_arxiv, observed 2026-06-30T16:44:56.192920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d09dc1df-d48e-4afb-a628-9f48927bcbce · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

The Attribution Contract: Feature Attribution for Generative Language Models A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 23

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doi, observed 2026-06-30T16:44:55.650258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ad79da54-c76a-414f-aa22-ff8c08aeff60 · outbound

This paper cites Survey of Hallucination in Natural Language Generation.

The Attribution Contract: Feature Attribution for Generative Language Models Survey of Hallucination in Natural Language Generation

Reference 24

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doi, observed 2026-06-30T16:44:55.646385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ce40d2df-bcde-476a-a48a-85b714940686 · outbound

This paper cites an unresolved cited work.

The Attribution Contract: Feature Attribution for Generative Language Models Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-07-08T12:44:54.078261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 67fc31e0-9e30-44af-8881-1085ae76f286 · outbound

This paper cites Red Teaming Language Models with Language Models.

The Attribution Contract: Feature Attribution for Generative Language Models Red Teaming Language Models with Language Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:44:56.195150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation dfd6ad35-1458-4989-9405-d1a88973134e · outbound

This paper cites Ravfogel, S., Elazar, Y ., Gonen, H., Twiton, M., and Gold- berg, Y.

The Attribution Contract: Feature Attribution for Generative Language Models Ravfogel, S., Elazar, Y ., Gonen, H., Twiton, M., and Gold- berg, Y

Reference 27

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metadata mismatch
arxiv_id, observed 2026-06-30T16:44:56.188364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4fd21662-09a5-4ee2-919b-de2feafecca7 · outbound

This paper cites The Mythos of Model Interpretability.

The Attribution Contract: Feature Attribution for Generative Language Models The Mythos of Model Interpretability

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:44:56.185986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T16:38:10.113987Z digest=sha256:54be5e3ebe30a909feb4bd3a30a0979e4d14eebd364d60af49fea1fe6b661307

Pith citing papers

Observation 7aa762da-9f07-49f8-a569-d4bed9413884 · inbound

Scaling Inherently Interpretable Language Models cites this paper.

Scaling Inherently Interpretable Language Models The Attribution Contract: Feature Attribution for Generative Language Models

Reference 113

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metadata mismatch
local_arxiv, observed 2026-08-11T00:36:59.801301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T00:36:58.852315Z digest=sha256:8e3298af3b2352b59375b896f9bddcde5f8755560e6f5dd1274296e3fcdf003d