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Paper Citation Record · LEDGER

Massive Editing for Large Language Models via Meta Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:17.675366Z

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 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=sha256:83f07c7bf85caaf0d18e08d1eb60337f6e1368990ab43623b836dd33090261ea

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:f3c1319d2d01366a6887bee672222860ff0580771de101d1d0a46585e9640a0e

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:d9613c95818961ab3ad51aff3fa16edf287414c7763d483aabb4acdf63114df7

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:c542d362ccf7fda1c37a6ccecf952b25f9760624eaf58bd097ac8c674b06fa0d

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:ccf02d3f748c5e81cb2807b7d4676907d2bcb9377c7556a63172fd515586fc19

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:e0d4243754767ed846c3a58213619d3edbe0b4066b64e4dc548b93ad54225482

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T01:56:27.674057Z digest=sha256:aef04821057a5b08e3df83706afd8839b7da40458bc7046cd97a5a1e564254da

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T03:59:41.631923Z digest=sha256:04d40c593db6d85ed1fc7f3f1516438b3a14e2a72670f58f300cd7bac7d73f68

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T04:46:05.163226Z digest=sha256:f81a902b17bdf8a98eef8fe7ae4d2c5c9582533341c5295a421cc7f69559a573

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T10:43:35.767892Z digest=sha256:0ec23a31f2b60494ccb59a2a5d4a80b67e440b136a4fc8d78d914c9468fa2ebf

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=sha256:9639757379b3128d320885f7135d9f7133343ff46b2ade2c3fb3419b768a34db

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=sha256:489af29cb389765520c7afbb7bf7a8f09dc861905447e7ba0c7a9c28008502b6