Paper Citation Record · LEDGER

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2305.14160.

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

pith.paper-citation-record.v1
2305.14160 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:09:36.663757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:58:29.202524Z

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 2eb9a3f7-c326-414a-b4f5-2fbe7a305013 · inbound

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling cites this paper.

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:58:29.206330Z

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.

Observation 498d6077-4228-4514-9f1d-e2780b85452a · inbound

RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage cites this paper.

RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T23:09:36.663757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8bec7c-a9c2-4160-9470-9559901e8d62 · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:19.983154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce54816-f4f9-4630-aa7b-8d46f994fbe2 · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:57.387765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5017c3a6-e926-4217-b057-3190eae5e1a4 · inbound

Understanding the learned look-ahead behavior of chess neural networks cites this paper.

Understanding the learned look-ahead behavior of chess neural networks Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:48.094636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c086cfc-74b3-45d2-9d1b-60353a67b8ae · inbound

ConText: Driving In-context Learning for Text Removal and Segmentation cites this paper.

ConText: Driving In-context Learning for Text Removal and Segmentation Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:12.487239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7ccba4-72b1-41af-b2b7-dd210c793768 · inbound

Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation cites this paper.

Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:25.946504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e9bfb90-0e6c-4900-a15a-c4b9067f3bd9 · inbound

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis cites this paper.

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T19:21:13.522033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c396b57c-ee72-4e57-83bf-541e749a2636 · inbound

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models cites this paper.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T18:09:09.900466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c998d5-459a-4534-866d-002bb050f289 · inbound

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning cites this paper.

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:52:37.589522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efeb0a31-f453-4c1d-ad17-afd1aa922eda · inbound

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

NEAT: Concept driven Neuron Attribution in LLMs Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T18:01:19.720092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe512cfd-54da-4499-9888-9700cd979881 · inbound

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction cites this paper.

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T20:48:59.844453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0ea5ba7-73be-4cd4-8f3d-880d99310da9 · inbound

Multimodal Function Vectors for Visual Relations cites this paper.

Multimodal Function Vectors for Visual Relations Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T12:44:42.196116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04607001-7206-4189-90c2-fedc4447401f · inbound

Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks cites this paper.

Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:45:28.164883Z

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.