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Paper Citation Record · LEDGER

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models

As of 6 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2602.07794.

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

pith.paper-citation-record.v1
2602.07794 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T06:50:49.096618Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T13:49:17.343893Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact8
  • verified fuzzy8
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ef421176-a033-4962-a99f-6352b00ef70a · outbound

This paper cites A., Zhang, S., and Arora, R.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models A., Zhang, S., and Arora, R

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:52:28.994210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:0d2a254fa8a47f0bae41c9767dd4f2911e58616879272c36e73e480e81748572

Observation 47950728-ab6d-48bd-9a15-9385ea78f827 · outbound

This paper cites an unresolved cited work.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-16T06:52:29.020912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:1ec322e03354914a91888d22695b0969e82e6f4bf886be07af5da1ea6f8ca768

Observation 9312f52f-b066-435c-b208-8ec738aee938 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T06:52:28.452960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:7822774fdc0e7f5386d3b471449dbca832ec66a2f02729a45aa34c604141b0d8

Observation 43e25522-765e-433c-9f8f-eefd426b98e6 · outbound

This paper cites Elhage, N., Nanda, N., Olsson, C., Henighan, T., Joseph, N., Mann, B., Askell, A., Bai, Y ., Chen, A., Conerly, T., et al.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Elhage, N., Nanda, N., Olsson, C., Henighan, T., Joseph, N., Mann, B., Askell, A., Bai, Y ., Chen, A., Conerly, T., et al

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:52:29.007175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:b22b206bb65123730735537ab422415f744ecfd45af10ae6dc5417d9e02a328a

Observation 063b9e39-0ea3-4628-baf5-5b29a3d22ea1 · outbound

This paper cites Do Neural Language Representations Learn Physical Commonsense?.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Do Neural Language Representations Learn Physical Commonsense?

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:52:28.467075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:208302ec02788e5a3a7096510b6708b6b61174c8630ca26d8745d01274f6bea5

Observation f4cbddcc-52f6-4da8-acb6-5e2c931c9e23 · outbound

This paper cites Dis- secting recall of factual associations in auto-regressive language models.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Dis- secting recall of factual associations in auto-regressive language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:52:29.009557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:421d7c165ebef069a727d193dcec749b4452d4805c4422c036629fa260d11f6d

Observation c1d9e20f-4643-4e11-b7c1-3b8a317b0f4d · outbound

This paper cites The Llama 3 Herd of Models.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models The Llama 3 Herd of Models

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T06:52:28.438987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:5cf23980e725f007fe23feeb4860d5746a6a1bcc8d25a648f3a555b08499b42d

Observation d4546189-ac94-4875-9ee8-3f7cc46a7e93 · outbound

This paper cites Whither symbols in the era of advanced neural networks?.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Whither symbols in the era of advanced neural networks?

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:52:28.478228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:2ca2771f23cd4fe3b8a5e1bdbc0a9222811a6a0bd04b0d141c9f8a595404d447

Observation b469783a-a3fb-44d5-9ace-e14fe10a4166 · outbound

This paper cites A Theory of Emergent In-Context Learning as Implicit Structure Induction.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:52:28.470871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:a33fd419931dcefa552885affd2def3d6128b0780f17e268ac8a6382b324c0cf

Observation 66c98100-1cf7-4bb3-9622-3bacb43fa65b · outbound

This paper cites In-context learning creates task vectors.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models In-context learning creates task vectors

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:52:28.999234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:3912812d654de930db2bd52eb16b3acebad8048d337fd4c2a3c714b2bd90c6a8

Observation 1c55877e-b187-4b32-9a6b-9f813fc58688 · outbound

This paper cites The broader spectrum of in-context learning.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models The broader spectrum of in-context learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:52:28.462423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:94aec6ed496b733e87cd169a9aa9ef81c13734c6f3df200846c139cca0069cfd

Observation e58cde08-5ef9-4e51-87de-8f538c41ff9a · outbound

This paper cites Rethinking the role of demonstrations: What makes in-context learning work? In Goldberg, Y ., Kozareva, Z., and Zhang, Y.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Rethinking the role of demonstrations: What makes in-context learning work? In Goldberg, Y ., Kozareva, Z., and Zhang, Y

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:52:28.996773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:f1d2b3ba73e38588e6215b8409e24793c29eb36a9c3ca2128d1ff61e779d123b

Observation 2c5449fd-e066-43d6-88dd-63c5893b5cbc · outbound

This paper cites In-context Learning and Induction Heads.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models In-context Learning and Induction Heads

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T06:52:28.447723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:f5f29f25cab6362cc75f2488acdedd8ab809f1db086bb7b601dbc121b6db4b4c

Observation 89907900-75b6-4cba-bd78-635507d2cad7 · outbound

This paper cites Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:52:28.442942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:92bc272fbc7cba8ca83afa4cb55e674a744ddc822c0700d70e602632a30bd2f7

Observation 7a4223ca-af17-4fce-8020-1753d09e54f4 · outbound

This paper cites Qwen2.5 Technical Report.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Qwen2.5 Technical Report

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:52:28.457531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:4180852e6949f9fb2ea428df51b1013218937c67c153aa54ad1fee13cb87807a

Observation f470b0bf-6a57-4412-abfa-c767cf68c3db · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:52:28.481924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:540fec7dab502aa28096905ee2569ae236340f457c024bbc572b1f3cd5a78ce4

Observation 5ffa3de3-82eb-4024-a263-3a6490819ac7 · outbound

This paper cites Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:52:29.015614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:d25a4e35950ab6b06eeb44bca213d6c4064e433afc06b896040dd4240a1213ec

Observation b15b3ff8-6dbb-4010-b20f-bbccb94e4467 · outbound

This paper cites On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:52:28.475040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:5d38aa50310060c7eced77f4b335b498a2297fd5b791bfca90f0161d33a1bdc5

Observation 4f5a63b1-d018-439d-b522-07d7c16ff014 · outbound

This paper cites an unresolved cited work.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-16T06:52:29.018309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:6a0191c8aabc63bd90e30c499ea111fffe3ad55431a908eb8605094a0a2cfc2d

Observation c254575b-3b64-4f52-8002-1395bc8a637e · outbound

This paper cites #Layers” denotes the total number of layers in each model, including the embedding layer (indexed as layer 0). “Sel. Layers (0-indexed).

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models #Layers” denotes the total number of layers in each model, including the embedding layer (indexed as layer 0). “Sel. Layers (0-indexed)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:52:29.004333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:2fc671881ed284a3e0518b8d4a384b3197c2d227e54b1dc424b9e09cb1600fff

Observation 9b9b5b8a-04a7-4bc7-b2eb-4e3134ed2f73 · outbound

This paper cites Series Model #Layers Sel.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models Series Model #Layers Sel

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:52:29.001738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:300394d13e02e9edf953a33603a12965a5152f95174acc8346a71b209bc969df

Observation 31936057-be51-464f-b2c1-9407f4e2ab11 · outbound

This paper cites (2024) (https://github.com/ericwtodd/function_vectors).

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models (2024) (https://github.com/ericwtodd/function_vectors)

Reference 22

Resolution
malformed identifier
raw_fallback, observed 2026-05-16T06:52:29.012330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:50:49.096618Z digest=sha256:99cda7424fcbc6ecafe0612805afcdb0c50dd7dd50c00c46282759920000dd62

Pith citing papers

Observation 44203cf6-d107-4334-b73b-388e74028d63 · inbound

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs cites this paper.

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models

Reference 191

Resolution
verified exact
local_arxiv, observed 2026-07-10T13:57:06.772351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-10T13:49:17.343893Z digest=sha256:f5b1b4695bfc18f1a6230e07daf832acb4c080e84405798427a3e49b9d418578