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Paper Citation Record · LEDGER

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2304.14767.

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

pith.paper-citation-record.v1
2304.14767 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:53.657306Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7a90fa2c-d084-44bd-b979-0b9a353d7a88 · inbound

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods cites this paper.

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 83

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metadata mismatch
arxiv_id, observed 2026-05-17T11:56:11.200201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-17T11:56:11.053897Z digest=sha256:7fbf23b78032bbfaa1605a7ce1db1947ff112f3928462983cca8d604e7e647ff

Observation 4680885b-f0e1-4537-aee9-21a05f77cd47 · inbound

How to use and interpret activation patching cites this paper.

How to use and interpret activation patching Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 9

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metadata mismatch
arxiv_id, observed 2026-05-16T20:34:06.957503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:34:06.888683Z digest=sha256:c9257c1542cc5049817565eeda46a60ce604a9683f2f134fc53e4e1bd072ad0f

Observation fc0dc48b-b637-4731-a3b6-a4f6ee586a18 · inbound

Distinct Computations Emerge From Compositional Curricula in In-Context Learning cites this paper.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 11

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unresolved
no resolver link, observed 2026-08-07T00:41:53.657306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:53.657306Z digest=sha256:5ba4edac07dff7ad30b61adc51aa3afd8662d6f5b69189f8eedd71d01a0719d8

Observation 882665b5-e390-4393-a700-f7ee81ed8000 · inbound

Potemkin Understanding in Large Language Models cites this paper.

Potemkin Understanding in Large Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T22:30:30.137112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:30:30.137112Z digest=sha256:44074d5abb038ee454799625e76723006b09b3d432728da989c5516b910da4a6

Observation 2f513281-1f0c-426b-9198-d65273a7b553 · inbound

Linear Relational Decoding of Morphology in Language Models cites this paper.

Linear Relational Decoding of Morphology in Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-06T15:59:10.466414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:59:10.466414Z digest=sha256:73dccee1b85c19263f7f87fceba71f7f9cc944394302192120923a14ff0b1a33

Observation f058a406-13b6-4373-ba64-67efa7c88d6c · inbound

NEAT: Concept driven Neuron Attribution in LLMs cites this paper.

NEAT: Concept driven Neuron Attribution in LLMs Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T18:01:19.603269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:01:19.603269Z digest=sha256:0b2b41da1d2aad25758340c1b8043536ba2402e7bb6898f7d208dfd75030f95f

Observation 1410ff0f-772f-472e-835b-f49896e8d9f7 · inbound

V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models cites this paper.

V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:21:36.555578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T16:21:20.463222Z digest=sha256:e2c7fb3e8d4488eaefb7565167d34844996dfc573e5a3e56412f4e2694650dca

Observation 35c42625-e305-4e63-b241-71b215da5653 · inbound

How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models cites this paper.

How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:11:23.899365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T13:10:16.948681Z digest=sha256:18376f45e17f70320b4f2e1d145a5f55393c1a626ab0761d8b46d24b25aaa516

Observation b717e3ae-ba14-4daf-8c9c-b982b6d06019 · inbound

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization cites this paper.

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T09:48:04.784261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:48:04.784261Z digest=sha256:e88ac0d211c4e3e693cfb0fd05109b185c3a0148ccc095cf278af21deeeceb9e

Observation c1b7be28-14da-439f-a1fb-1f05b021731d · inbound

Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning cites this paper.

Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T13:03:22.009752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:03:22.009752Z digest=sha256:ef6dea2ea2207721bb69e3afe5e02906b9ac4df83830e836c94e33b8d8146afd

Observation 75b0f373-ec3b-4ecf-9551-f1139e62d36c · inbound

Prototype Transformer: Towards Language Model Architectures Interpretable by Design cites this paper.

Prototype Transformer: Towards Language Model Architectures Interpretable by Design Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T00:02:44.289013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:02:44.289013Z digest=sha256:2ca879cefe56778c3082b23b88740b9b3baee7914c8026ed4b508fa61e973645

Observation ee1770bc-8d1b-4947-b9cb-4488a8f09bd7 · inbound

How do LLMs Compute Verbal Confidence cites this paper.

How do LLMs Compute Verbal Confidence Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:40:00.615877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T10:38:28.533485Z digest=sha256:133bd738d903de6e70268d77a8856dd78f8c4e7b784a91b3304adc278569ae68

Observation b29655d8-5e7e-4f65-a681-46495c33476a · inbound

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization cites this paper.

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:38:17.187072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T02:32:50.182859Z digest=sha256:97aa05250c77f7dc7d58c29197fadf90f7fcc905f543d8fba9eda4d1b025d592

Observation b4ac17f8-a46d-43d4-8b7b-9b6183db70ed · inbound

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation cites this paper.

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:11:10.210124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T06:39:00.768904Z digest=sha256:c859334817694e081de351ce94233dd68949b2507ac4d52b399efef8a3c99a33

Observation a6518099-52d5-4b96-9bd1-ae053fc08c45 · inbound

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation cites this paper.

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:21:27.104112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:21:58.428036Z digest=sha256:aba0986b53cd41b5354143936e463729d8eb2cd342c7b219f2f9a702c5e09418

Observation 0a483c60-dc76-449c-9027-25fe3bc68eda · inbound

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:06:06.344407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-09T18:51:59.402906Z digest=sha256:8942b0d7b339018ec8764ed9a9af27fe759b65348c76acf2fdd2a4a22d451c5c

Observation 3701771d-314e-434a-9ca0-93bf6ec70b2d · inbound

Tool Calling is Linearly Readable and Steerable in Language Models cites this paper.

Tool Calling is Linearly Readable and Steerable in Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:10:52.659588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T03:09:11.013914Z digest=sha256:0dcc1f20c157445bad2af68d0869d9c3877040de83ffe25fe8afdfb91c664351

Observation 2555f9ec-3a7b-410a-b2bd-46361c28c823 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 102

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metadata mismatch
arxiv_id, observed 2026-05-14T20:17:54.759803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:455f9680cb7faf89fce54a49fb9b868d71a10458b384102a6b3eca2bcbdf01b8

Observation 575b638e-d401-470d-9fe4-c0775df38b31 · inbound

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy cites this paper.

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:07:53.655669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T20:04:57.638215Z digest=sha256:7582350bc2e75a755922acaf5f93914a912c1c1af37f20661b6edc06cd9c9407

Observation b022fadf-40bc-4509-aaea-946f215bdef8 · inbound

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy cites this paper.

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:33:46.502824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T21:30:30.384184Z digest=sha256:70b3ca020122361a7d461a35617885fe7052c67ac92b812d4fae35f32a118080

Observation 0e3cd3c0-a84a-4b9b-b979-dc364a4c14f1 · inbound

Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation cites this paper.

Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 230

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verified exact
arxiv_id, observed 2026-05-22T07:11:12.950900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-22T07:07:36.726431Z digest=sha256:425264617754918ac33c99a54dffab52ed7a64999f27d36de44b2e6284ed21e5

Observation d3522402-e7b2-4ba3-8fe1-a648186193a6 · inbound

PRISM: Recovering Instruction Sets from Language Model Activations cites this paper.

PRISM: Recovering Instruction Sets from Language Model Activations Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-06-27T17:01:08.043943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T16:52:02.948457Z digest=sha256:565ac141ddbe6ae0cfe5cd3e356978d89a4cb80933783bba00a3efb39622d3aa

Observation 9903c7b7-37bc-464b-ad32-d53c1ca3fa5c · inbound

TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models cites this paper.

TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:38:19.403645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:42:45.896118Z digest=sha256:8459a056d718a3b2c9608637c71b134a89d9a66b98aef285f608f61cdff641a1

Observation 4a728f2a-5949-4e70-b50c-3f267d7c9815 · inbound

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges cites this paper.

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 240

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:32.634069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T17:30:07.053955Z digest=sha256:c92a838f1c755eeb1e82cbb1286201212c488201725dfa4b95773bf8a8808e23

Observation 1d0e90ab-9f4e-4791-bf2c-3d5887d23ce4 · 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 Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:19:38.847487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T14:32:19.031688Z digest=sha256:1030a96c4a793f4f8cd35d4e3b06be5cce3ba7815d5a3a9a13d5e4d8a6096348

Observation c59c3631-fa1d-47ed-bfc0-d96de14b427a · inbound

Perfect Detection, Failed Control: The Geometry of Knowing vs. Steering in Language Models cites this paper.

Perfect Detection, Failed Control: The Geometry of Knowing vs. Steering in Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:49:57.494105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T00:14:40.674306Z digest=sha256:23c6cb40968e85e6f7c4715a3f4b8cf8597ae5121b937fcd6b45a041940a5360

Observation 51c1de77-6542-4a5c-b0b4-f216053f9e92 · inbound

Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution cites this paper.

Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:35:48.377869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T01:20:29.026464Z digest=sha256:96c70584b4232f8d8747dc57f84e5d6e92d4949826c1fb2d49ca0e61550e7ba6

Observation 4fe0402e-bc4a-4b0c-aa15-099d32e2437a · inbound

A Mechanistic View of Authority Hierarchy in LLM Sycophancy cites this paper.

A Mechanistic View of Authority Hierarchy in LLM Sycophancy Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:46:58.790383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T13:41:18.279864Z digest=sha256:21313a8e73bd890e4627b40a76f314e86b55c50a36712e72cce7dac74508667a

Observation 1b21322c-689b-4c91-9106-7e7355592ac2 · inbound

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

Verbalizable Representations Form a Global Workspace in Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 56

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unresolved
no resolver link, observed 2026-08-01T23:15:22.194747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:15:22.194747Z digest=sha256:e0161265d9586f58705a499d655497a6eb6c4b08f698fbdcad53c43c4cad24bb