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Paper Citation Record · LEDGER

Massive Editing for Large Language Models via Meta Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2311.04661.

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

pith.paper-citation-record.v1
2311.04661 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:03:29.804049Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:58:43.104013Z

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 3363ba19-a3a6-490b-ad0a-58847129af96 · inbound

Joint Knowledge Editing for Information Enrichment and Probability Promotion cites this paper.

Joint Knowledge Editing for Information Enrichment and Probability Promotion Massive Editing for Large Language Models via Meta Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:44.589808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:18:44.589808Z digest=sha256:bf2ac2e05a146e997ba8996ec0a615437b167f6de3bfa22a4916a2850c8e903f

Observation d2846c55-bd70-465e-a560-201e8f0b1deb · inbound

In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs cites this paper.

In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs Massive Editing for Large Language Models via Meta Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T04:09:49.534826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:09:49.534826Z digest=sha256:220b262369244728da30781965e7be83ab9d22562baf065848f66ad9cb5b8343

Observation 30fc0424-f732-432f-b385-15db745c1378 · inbound

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents cites this paper.

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents Massive Editing for Large Language Models via Meta Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-08T14:13:38.338873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:13:38.338873Z digest=sha256:5eb28b5bed4e8f4cb215fdd0320a89304c7e5f2b1f32536926c827ebd39880df

Observation 61af6407-8c15-428c-b647-ff0bca05a451 · inbound

One for All: Update Parameterized Knowledge Across Multiple Models cites this paper.

One for All: Update Parameterized Knowledge Across Multiple Models Massive Editing for Large Language Models via Meta Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:17.675366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:17.675366Z digest=sha256:f2bd65bcea9efebaac7b6550e2b5d1cb123d5633b2bd036ac936b10c7c273f82

Observation 2ca7ff8c-8786-4737-a39f-6bfe70deaa39 · inbound

The Compositional Architecture of Regret in Large Language Models cites this paper.

The Compositional Architecture of Regret in Large Language Models Massive Editing for Large Language Models via Meta Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:48.117184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:48.117184Z digest=sha256:d3bf52ada5b062349d8a681fb947e37682c247e77046db96ba72dbbacb785e0b

Observation 470d4068-e4ed-48aa-b8eb-91bc21622d5e · inbound

QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs cites this paper.

QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs Massive Editing for Large Language Models via Meta Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T19:03:29.804049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:03:29.804049Z digest=sha256:f542be4d9ba6015e5db67feede28dac785f0d580ca1f4bcf1d7660a9d66a8276

Observation 6ac61856-edd6-4498-8bc9-14df6440e786 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Massive Editing for Large Language Models via Meta Learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:50.988901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:50.988901Z digest=sha256:c4e967012863d1b4d74a449e48881af2992ff091e66f8536d9c6033a1d37af50

Observation ba4c075b-2131-449f-b30c-1b2a09e9cd9f · inbound

DisarmRAG: Stealthy Retriever-Centric Poisoning to Disable Self-Correction in Retrieval-Augmented Generation (Extended Version) cites this paper.

DisarmRAG: Stealthy Retriever-Centric Poisoning to Disable Self-Correction in Retrieval-Augmented Generation (Extended Version) Massive Editing for Large Language Models via Meta Learning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-05T15:18:35.887794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:18:35.887794Z digest=sha256:ed09ce776b87621b38813f1b26d128a2aa1bc00200d1037f007ac55fada39b89

Observation b8dbe98b-f2e5-4581-966d-9b565bbd0603 · inbound

PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement cites this paper.

PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement Massive Editing for Large Language Models via Meta Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T13:11:20.539368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:11:20.539368Z digest=sha256:7acab98389a646617dc2f389dd6cc7c16ef1f60e140c393989fe57aa0629c0b5

Observation 591fa198-27c6-48b3-af90-e31ffdf963da · inbound

Don't Use a Cannon to Kill a Fly: Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations cites this paper.

Don't Use a Cannon to Kill a Fly: Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations Massive Editing for Large Language Models via Meta Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:30.965355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:30.965355Z digest=sha256:7e55fe83992a60c585de68b982f18cee1fb97382b5b413c1753c3a1623d91c06

Observation 409c1b61-b625-4086-8499-8ee07bab2dc4 · inbound

Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression cites this paper.

Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression Massive Editing for Large Language Models via Meta Learning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:21:05.238142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T01:56:27.674057Z digest=sha256:ac467bea57865f196c8838a1648a1d9761b076c7a3040a4d67d83cc4187c3d1b

Observation 400e74e3-28c5-4527-885f-d46b79ff543d · inbound

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment cites this paper.

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment Massive Editing for Large Language Models via Meta Learning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:00:18.926779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T03:59:41.631923Z digest=sha256:d648e641dc90ddbe2f070499fa592bcb13140b08c4344989c174bb3ddb4c942f

Observation 0a264404-7bbc-4ffa-9668-7d9adbe61cc7 · inbound

When to Write and When to Suppress: Route-Specialized Dual Adapters for Memory-Assisted Knowledge Editing cites this paper.

When to Write and When to Suppress: Route-Specialized Dual Adapters for Memory-Assisted Knowledge Editing Massive Editing for Large Language Models via Meta Learning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T16:58:43.105631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T04:46:05.163226Z digest=sha256:6e75ee05620ecbd97bf2686e1b57729baf977d580eb7f563789bd3235429b22a

Observation f62306d1-7267-4d92-a7f7-a1ce16588915 · inbound

When to Write and When to Suppress: Route-Specialized Dual Adapters for Memory-Assisted Knowledge Editing cites this paper.

When to Write and When to Suppress: Route-Specialized Dual Adapters for Memory-Assisted Knowledge Editing Massive Editing for Large Language Models via Meta Learning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:44:36.349542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T10:43:35.767892Z digest=sha256:dfe5e324f57a7ceefa711f63114d3f3292b4bc8193e495b97b5b7bd3815d57b7

Observation fddce5f5-df37-493a-a247-dce064305268 · inbound

Break Through the Compression Bottleneck: From Theory to Practice cites this paper.

Break Through the Compression Bottleneck: From Theory to Practice Massive Editing for Large Language Models via Meta Learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T14:29:32.477783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:29:32.477783Z digest=sha256:318597e4a6a2909dac207242656cbcbce1e9d3d1366d69a52f49e555ccc9b3ba

Observation 01807301-fcd4-4b5a-a132-fb3ce15df339 · inbound

ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models cites this paper.

ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models Massive Editing for Large Language Models via Meta Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T15:31:04.708429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:31:04.708429Z digest=sha256:fda654fa0adf707a9ad034a1e9b7bd56e3eb270c9e191379dd66fac8747a3a46