Paper Citation Record · LEDGER

Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.07321.

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

pith.paper-citation-record.v1
2402.07321 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:25:25.291312Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:38.852082Z

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 1299dd8a-6a16-473b-90d7-9f8048ac030b · inbound

Paying Attention to Facts: Quantifying the Knowledge Capacity of Attention Layers cites this paper.

Paying Attention to Facts: Quantifying the Knowledge Capacity of Attention Layers Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:25.291312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66476951-a99e-4342-ad0e-b2873a56a418 · inbound

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline cites this paper.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:17.366968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e651267-9ff8-4c1e-bf5e-47a273ed6c41 · inbound

Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones cites this paper.

Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:35.997228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd8a662f-b7db-4930-a972-303ac3fe026f · inbound

All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens cites this paper.

All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:56.565503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aceabfc4-6868-4437-afdd-3acf5d37422d · inbound

Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal cites this paper.

Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:56:45.875734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a249412d-a2e5-454d-8311-7d9b1f33e184 · inbound

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:31:25.550071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62c8cadf-5680-466a-a120-26a02d3b2190 · inbound

The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level cites this paper.

The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T09:39:57.480235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b79f613e-847b-48c7-88f0-9d163f6cda91 · inbound

Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings cites this paper.

Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:30:53.929093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d72a9de2-88f7-44fb-ac7d-7a9c19293db9 · inbound

Tracing Relational Knowledge Recall in Large Language Models cites this paper.

Tracing Relational Knowledge Recall in Large Language Models Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.490996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61c06270-fe52-4ab5-a3bc-1aeb81766641 · inbound

How Language Models Process Negation cites this paper.

How Language Models Process Negation Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:25:45.383441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7f72717-3cbb-4db2-987f-622f25eff6ba · inbound

How Language Models Process Negation cites this paper.

How Language Models Process Negation Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T00:15:09.351393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 132ef3b2-4062-429d-9c01-a19ee7ef7f54 · inbound

Data-driven Circuit Discovery for Interpretability of Language Models cites this paper.

Data-driven Circuit Discovery for Interpretability of Language Models Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:21:16.655591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72753a3c-4f68-4e3e-aef4-594630add7ba · inbound

Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process cites this paper.

Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:38.853771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation faa74bfe-a12b-4126-8123-f6dc64b3edfb · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T23:15:19.566197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.