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Paper Citation Record · LEDGER

Can We Edit Factual Knowledge by In-Context Learning?

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2305.12740.

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

pith.paper-citation-record.v1
2305.12740 v1

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 2026-08-11T06:34:44.6726+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:47:10.418614Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T16:21:16.035423Z

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 9345c245-17f6-487c-a1ea-7110f407e48a · inbound

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing cites this paper.

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing Can We Edit Factual Knowledge by In-Context Learning?

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T13:47:10.418614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:47:10.418614Z digest=sha256:6171734b9923154aaa1e075fa226c82174e2d15e92ee9c9cbe83e073a74a6eaf

Observation 92d21ae7-7d70-44b1-8265-c3f00fb5d8f6 · inbound

Context-DPO: Aligning Language Models for Context-Faithfulness cites this paper.

Context-DPO: Aligning Language Models for Context-Faithfulness Can We Edit Factual Knowledge by In-Context Learning?

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T13:08:34.429209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:34.429209Z digest=sha256:c5af209efe19b2f3384f03d1bcd80cebc17123a086ffa0f1a61cef2ce00ad735

Observation 025e5f57-c913-4df8-8140-741236a0b5c4 · inbound

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

Joint Knowledge Editing for Information Enrichment and Probability Promotion Can We Edit Factual Knowledge by In-Context Learning?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:44.607243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:18:44.607243Z digest=sha256:d23a66e4d98e4562b5cf8fe1f5a71ec81b8326d206e7988172c682ef9fe5c6c7

Observation 1055e602-e0a2-4bf2-8cfc-7c7be6c127af · inbound

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing cites this paper.

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing Can We Edit Factual Knowledge by In-Context Learning?

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-09T18:26:56.413597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:26:56.413597Z digest=sha256:dbccadd114331f1a6629cc99671d05f4c1adaaa0acb7dd9fe0ff2205dbb22ec3

Observation 2e188135-035c-4a37-916a-3cd931e4f853 · inbound

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge cites this paper.

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge Can We Edit Factual Knowledge by In-Context Learning?

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T13:10:15.292791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:10:15.292791Z digest=sha256:cb72ce2fc89f8e5df3319847e7328128d4857d732eb67c0c1b3cd892f291bc0f

Observation dad8ec85-1947-42d7-84b3-da37e773c8a2 · inbound

COMPKE: Complex Question Answering under Knowledge Editing cites this paper.

COMPKE: Complex Question Answering under Knowledge Editing Can We Edit Factual Knowledge by In-Context Learning?

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:24.352605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:24.352605Z digest=sha256:de5cb38c8cdb96bde71222f5ff28b780777b0e80868e16f7b59362703754d21c

Observation eb7fc207-de0d-4b7d-8643-0f3bba4d4a8e · inbound

Towards a Principled Evaluation of Knowledge Editors cites this paper.

Towards a Principled Evaluation of Knowledge Editors Can We Edit Factual Knowledge by In-Context Learning?

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:13.989005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:20:13.989005Z digest=sha256:1b0611263167b83ffd6ea99c417247f8cccd994026c3cf5cd0ddfa6886715ef1

Observation 21174928-9bb6-4324-b8fd-e1013c6b8b40 · inbound

NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database cites this paper.

NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database Can We Edit Factual Knowledge by In-Context Learning?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T14:44:15.838593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:15.838593Z digest=sha256:9a5a773d78291ff4db49badb60b38c4c76a366396c548eacb606728af0288822

Observation 581681db-a53a-42b7-acf5-1c2dbd1bb271 · inbound

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction cites this paper.

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction Can We Edit Factual Knowledge by In-Context Learning?

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:26:47.254522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-18T19:26:35.001429Z digest=sha256:2d55f0f1041773f38db293292a126329a7b3bd99abf33d48326f2ab57dcfdb25

Observation b53310ba-3061-4276-89ae-7499a48f40cf · inbound

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs cites this paper.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Can We Edit Factual Knowledge by In-Context Learning?

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-05T05:12:44.371128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:12:44.371128Z digest=sha256:9274b906ab0133948575ea2216cc165d836f9fa6642b2462d5c06797d5537702

Observation 4ddac226-cb9d-498b-ad1e-248168609c7a · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Can We Edit Factual Knowledge by In-Context Learning?

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:06:19.361829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T06:01:46.885030Z digest=sha256:a4a250eb577532f94b90ed28e1b14bb474b61a24403333c136595c17cd66b0bb

Observation 83f49313-106d-417f-91b8-6da86acf4f0e · 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 Can We Edit Factual Knowledge by In-Context Learning?

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:00:18.974343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-25T03:59:41.631923Z digest=sha256:aa913b03ffa3fd993ff59128d78dd7b7d31d10952bdc5630fc0ae01c4012dd17

Observation 56b16a24-1c01-4f2f-8ecc-15e03c50ad52 · inbound

Steering LLM Viewpoints through Fabricated Evidence Injection cites this paper.

Steering LLM Viewpoints through Fabricated Evidence Injection Can We Edit Factual Knowledge by In-Context Learning?

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T14:17:02.758184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T00:36:32.258208Z digest=sha256:ec8455e968216d019d97b8b8623b3dd9c5c447538841b473c0cfd77a6801add8

Observation 7bd8fec3-984b-493d-b9dc-0b39a3506cce · inbound

Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs cites this paper.

Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs Can We Edit Factual Knowledge by In-Context Learning?

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-05T16:21:16.038922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-05T16:13:22.551147Z digest=sha256:8ee78fa196a346eb32f5e81e9a26dc1edfc548512374fd814dad69c0df609c1b

Observation d8b1e62e-3f80-4c83-b860-d7864dea5e7a · inbound

LOKI: Memory-Free Null-Space Constrained Lifelong Knowledge Editing cites this paper.

LOKI: Memory-Free Null-Space Constrained Lifelong Knowledge Editing Can We Edit Factual Knowledge by In-Context Learning?

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:59:25.210095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T18:46:11.998827Z digest=sha256:916c47002ac7f93f7dbeb891f75073c91bb203ead6c0f5039833116c59284f65

Observation 732b9000-350a-475f-9ea5-b03a903ef3e9 · inbound

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

Break Through the Compression Bottleneck: From Theory to Practice Can We Edit Factual Knowledge by In-Context Learning?

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T14:29:32.120050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:29:32.120050Z digest=sha256:8d9cd2492c5c471240f76bde2d75167ca9f8db0f6ee38eb3f5688656d3a5baa9