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Paper Citation Record · LEDGER

Auditing Forgetting in Limited Memory Language Models

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.00605.

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

pith.paper-citation-record.v1
2607.00605 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T13:09:34.491580Z

measured 13 of 13 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0016efe0-f0b2-4f6a-8951-18f6cc8bc8d8 · outbound

This paper cites Machine Unlearning.

Auditing Forgetting in Limited Memory Language Models Machine Unlearning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:16:58.308196Z

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=2026-07-02T13:09:34.491580Z digest=sha256:f0110cf3406e4b9e0b2e883287651519a39e5eae1cbda61f360262642b3fb166

Observation 41d6405e-1aa9-43f1-8a6a-e244df868e0e · outbound

This paper cites Extracting Training Data from Large Language Models.

Auditing Forgetting in Limited Memory Language Models Extracting Training Data from Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:16:58.312170Z

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=2026-07-02T13:09:34.491580Z digest=sha256:9846fc6ab95efb273204ace1b09ae9336986b1bddab13061affc8350b17ea6cf

Observation ba0aa2a0-88ec-4b03-8c09-6b52a812e0e5 · outbound

This paper cites an unresolved cited work.

Auditing Forgetting in Limited Memory Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-07-06T01:21:44.338805Z

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=2026-07-02T13:09:34.491580Z digest=sha256:6f79cb6272ec1acb4ecf1db4d350203adfc2e7dcb2c43e7e05a7876514ac2629

Observation f50613ca-531a-42a9-b6de-9b65da1264e5 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Auditing Forgetting in Limited Memory Language Models Dense Passage Retrieval for Open-Domain Question Answering

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T13:16:58.301476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T18:38:54.305721+00:00.

source=pdf_text observed=2026-07-02T13:09:34.491580Z digest=sha256:b1f8efe86a1087d2abd4b0151698267009a235ed6aa64dd64e5eda0be7b71fd0

Observation f770935c-a878-46ef-af02-c73f64f534bb · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Auditing Forgetting in Limited Memory Language Models Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-02T13:16:58.315205Z

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=2026-07-02T13:09:34.491580Z digest=sha256:a2af5a2ab0e3bdd5e19371906863ec7725ad7f38ac8399fd65d2ac5081615e3e

Observation e4ffcf9e-be05-42c7-8019-a10ad3e8e58e · outbound

This paper cites Maini, P., Feng, Z., Schwarzschild, A., Lipton, Z.

Auditing Forgetting in Limited Memory Language Models Maini, P., Feng, Z., Schwarzschild, A., Lipton, Z

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:16:58.312121Z

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=2026-07-02T13:09:34.491580Z digest=sha256:19ce46baf246cebc64011cd83c400c517cf422c537680e50c1fd2ce0e26e1c39

Observation 07173e5b-e4f6-46f1-8bc5-62dbfe260bfc · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

Auditing Forgetting in Limited Memory Language Models TOFU: A Task of Fictitious Unlearning for LLMs

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T13:16:58.318146Z

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=2026-07-02T13:09:34.491580Z digest=sha256:17255d437c507dc9bdeb8415e9c659efccc5fd79a75d580c64ef29c148220e30

Observation 25ed54a9-e321-4d95-9bb6-b870e6dbf258 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Auditing Forgetting in Limited Memory Language Models When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T13:16:58.324079Z

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=2026-07-02T13:09:34.491580Z digest=sha256:82ff2ae7e59f346ae4c2738eb08eedd0434f932c93928d3733111523f0f2ed57

Observation 85cf0824-46d5-4362-80ea-b4d657c34b08 · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Auditing Forgetting in Limited Memory Language Models Locating and Editing Factual Associations in GPT

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T13:16:58.295322Z

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=2026-07-02T13:09:34.491580Z digest=sha256:354210d2a13ee0eeac7f61f687ac1248e7534c4cd7d02690dab62352b0aa4af8

Observation 6cc431d6-51d3-4ad4-9ec6-f02d2598f5f7 · outbound

This paper cites Mass-Editing Memory in a Transformer.

Auditing Forgetting in Limited Memory Language Models Mass-Editing Memory in a Transformer

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T13:16:58.315435Z

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=2026-07-02T13:09:34.491580Z digest=sha256:417d2a8792ffc0329cf0ced58aa8412808e953a15044f8a4746e762a1e8228a1

Observation 3686a596-be93-45b7-8b99-fbfcfc0b1c80 · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Auditing Forgetting in Limited Memory Language Models FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:16:58.321290Z

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=2026-07-02T13:09:34.491580Z digest=sha256:4290a7aa26f56501016182a36139001c6994c421fe909b72deb9a72e94285def

Observation 0c15b343-0ece-4637-a90d-4b9c22523d2f · outbound

This paper cites Editing Large Language Models: Problems, Methods, and Opportunities.

Auditing Forgetting in Limited Memory Language Models Editing Large Language Models: Problems, Methods, and Opportunities

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:16:58.327593Z

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=2026-07-02T13:09:34.491580Z digest=sha256:36efe404b87bdd33b3825dccd95fc13c0b7ad3afb6b909b610794c340889de40

Observation 9c264b6a-8ae2-4f68-b94c-c6468f4d7432 · outbound

This paper cites Pre-training large memory language models with internal and external knowledge.

Auditing Forgetting in Limited Memory Language Models Pre-training large memory language models with internal and external knowledge

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:16:58.330640Z

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=2026-07-02T13:09:34.491580Z digest=sha256:d126a5d4f82c3dbb7e57bb469c4b67d68849a662ffe017fde759c2ac41a975e8

Pith citing papers

No inbound Pith citation observations are available.