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Paper Citation Record · LEDGER

Emergent Response Planning in LLMs

As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 6 inbound Pith citation observations for arXiv:2502.06258.

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

pith.paper-citation-record.v1
2502.06258 v3

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:18:48.100866Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:19.053536Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 73cc859c-8997-47d4-ad5b-02aba272f3b6 · outbound

This paper cites write newline.

Emergent Response Planning in LLMs write newline

Reference 1

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source=arxiv_source observed=2026-08-08T16:18:47.906226Z digest=sha256:6108d19044a448efb89880f9700ed7b4f502c009d95a39f94f7c90b41cecbb7a

Observation c84c52dc-a572-491f-b422-08893e97fa63 · outbound

This paper cites GPT-4 Technical Report.

Emergent Response Planning in LLMs GPT-4 Technical Report

Reference 2

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source=arxiv_source observed=2026-08-08T16:18:47.952232Z digest=sha256:32fc3dafea4cb6d90d2e16bbd4f703831f865b12a0686461e5e2e51881cda34f

Observation c39c37a8-8a4f-4f40-8292-2501b0cf521c · outbound

This paper cites Llama 3 model card.

Emergent Response Planning in LLMs Llama 3 model card

Reference 3

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source=arxiv_source observed=2026-08-08T16:18:47.955429Z digest=sha256:359fd6d2daefade2e510d312f230a3de0a599a29abc8f5773c34b6d85548a3d6

Observation cb387bf0-dd4a-4e2d-97cf-cb47dacc7b22 · outbound

This paper cites Claude 3.5 sonnet.

Emergent Response Planning in LLMs Claude 3.5 sonnet

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T16:18:47.958184Z digest=sha256:035c50f923f83eb5d0fb881920f5802c529c8e49c696243e3f2b3a32a2661c84

Observation 8eccdc74-7ec0-406f-943e-f5ec5ff4c17b · outbound

This paper cites The pitfalls of next-token prediction.

Emergent Response Planning in LLMs The pitfalls of next-token prediction

Reference 5

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source=arxiv_source observed=2026-08-08T16:18:47.960815Z digest=sha256:08fa47d2d39d0bbb917dd1bdff994dbabafde161fea1b432ae8ca6126d1464ca

Observation 13d3c652-752f-4464-ac04-3c4895c0f66d · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Emergent Response Planning in LLMs Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 6

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source=arxiv_source observed=2026-08-08T16:18:47.965115Z digest=sha256:3ac60f7e3fb37f208619de358024d4be146fc288d56fceee41cfb0f4c3ef715a

Observation 4e3fe79f-70a8-4842-8218-795cbd34232a · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Emergent Response Planning in LLMs D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 7

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source=arxiv_source observed=2026-08-08T16:18:47.969758Z digest=sha256:779b96de7b7108dac7036ce17ae72cffa718fba9edbb23be57a87cc25c625616

Observation 14fdf022-7c62-425e-a9f1-78e272f09aac · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Emergent Response Planning in LLMs Discovering Latent Knowledge in Language Models Without Supervision

Reference 8

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source=arxiv_source observed=2026-08-08T16:18:47.973134Z digest=sha256:60213e5323d84340a35050831b15da7b3dba283cf97522c8da89bdf318857a75

Observation 447009dc-d8b8-4a77-a86d-4aeda0fa430e · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Emergent Response Planning in LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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source=arxiv_source observed=2026-08-08T16:18:47.976808Z digest=sha256:c928c96f932989eaa6454c787d5d16f4b732366015c88f04bd64c980a4e7a725

Observation a12fbd53-6409-4b7f-8fd5-c8aa0d24d666 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Emergent Response Planning in LLMs Training Verifiers to Solve Math Word Problems

Reference 10

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source=arxiv_source observed=2026-08-08T16:18:47.980297Z digest=sha256:e3897c8ddf8d72026acb9a874886b693ce8599bb5c1d65f2969247567c4a07e1

Observation 3c568e56-1960-47dc-938d-9b4e23eb5c24 · outbound

This paper cites Learning to Plan for Language Modeling from Unlabeled Data.

Emergent Response Planning in LLMs Learning to Plan for Language Modeling from Unlabeled Data

Reference 11

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source=arxiv_source observed=2026-08-08T16:18:47.984987Z digest=sha256:ed73df04cf2ad01f24a0c387b817d53e231eb209b784e9892379cbe5300c76bf

Observation 45a5734c-5395-4298-b185-f158ee9e72dd · outbound

This paper cites Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.

Emergent Response Planning in LLMs Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 12

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source=arxiv_source observed=2026-08-08T16:18:47.988297Z digest=sha256:a2c80c2c1ce89ed3d2e1245271198fa256435cc37a545c46e2bef0c2d6d1126c

Observation 0e60838f-8c18-4228-abf4-10e2ece37333 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

Emergent Response Planning in LLMs Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 13

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source=arxiv_source observed=2026-08-08T16:18:47.991797Z digest=sha256:c4fefe3838fdb45cb321a10a241ad8f01a759c5ab465edf40c93f8136ba03f7f

Observation c277df22-b5c6-474b-be8e-8895bd477f4a · outbound

This paper cites TinyStories: How Small Can Language Models Be and Still Speak Coherent English?.

Emergent Response Planning in LLMs TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Reference 14

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source=arxiv_source observed=2026-08-08T16:18:47.995292Z digest=sha256:0ea834470cf1a362338e7781870ece029e59d724e404d15aba5c624e62a250a6

Observation d2685ed8-7253-48d5-9a71-10119baa38a4 · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Emergent Response Planning in LLMs Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 15

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source=arxiv_source observed=2026-08-08T16:18:47.999529Z digest=sha256:a6984b013df961086e537ab1ccc40f115adc89ff8dae470d337b5dbab68e74af

Observation ea4e6788-c37c-4a2d-9409-16197e3115e9 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

Emergent Response Planning in LLMs Token-Budget-Aware LLM Reasoning

Reference 16

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source=arxiv_source observed=2026-08-08T16:18:48.003532Z digest=sha256:edd441c64f6bc15627a5a39cf5942b791bbd34597baaa9d6c2fc6eb13a70771f

Observation f09fd51d-0a89-48f2-9571-2ddfa1f6a0bf · outbound

This paper cites Do LLMs "know" internally when they follow instructions?.

Emergent Response Planning in LLMs Do LLMs "know" internally when they follow instructions?

Reference 17

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source=arxiv_source observed=2026-08-08T16:18:48.007229Z digest=sha256:57fb7e2b8e3733328600f555cfc455341dc1b7f420530dae45088526d5f67e42

Observation a5b59f12-2576-4a8e-941e-b67b8b06f879 · outbound

This paper cites Inspecting and Editing Knowledge Representations in Language Models.

Emergent Response Planning in LLMs Inspecting and Editing Knowledge Representations in Language Models

Reference 18

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source=arxiv_source observed=2026-08-08T16:18:48.010541Z digest=sha256:e79dd4f85e09002a7196f1890526927f98de438d10b00c44aeb55c3ba75e925e

Observation 5209b12d-19bf-4574-bc4b-f584014ab321 · outbound

This paper cites LLM Internal States Reveal Hallucination Risk Faced With a Query.

Emergent Response Planning in LLMs LLM Internal States Reveal Hallucination Risk Faced With a Query

Reference 19

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source=arxiv_source observed=2026-08-08T16:18:48.013808Z digest=sha256:bcb49743b2d3fbbe5964a2d0fdb536763d66a9ab795d4e222cb8eceb20a9da1a

Observation 4f707a31-0bc3-4267-b09d-dbefbbb6c160 · outbound

This paper cites Mistral 7B.

Emergent Response Planning in LLMs Mistral 7B

Reference 20

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source=arxiv_source observed=2026-08-08T16:18:48.017529Z digest=sha256:d8b5b4f1236604785240963106f7899860afb12485b9366d46a1932ef9108424

Observation e4244ca3-f3b6-4eef-9e84-07c08ec41322 · outbound

This paper cites Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task.

Emergent Response Planning in LLMs Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Reference 21

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source=arxiv_source observed=2026-08-08T16:18:48.020692Z digest=sha256:c2ec8db6b659a300f0d5b4e47972073d7c899154ed96c86cba627e5813bfe5c7

Observation 92d2d72e-9dd2-46af-a1b4-2394b6cd21ff · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.

Emergent Response Planning in LLMs Inference-time intervention: Eliciting truthful answers from a language model

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T16:18:48.023658Z digest=sha256:95c8248f7a51685e1f34a79657df4f6c94ab89e10cdb3e1c4c595baa25acbcf7

Observation a8caa0f7-cd43-4422-a1e0-27134e60df2a · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.

Emergent Response Planning in LLMs Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing

Reference 23

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source=arxiv_source observed=2026-08-08T16:18:48.025979Z digest=sha256:c6df3a4ce8c720bb8565ab14c9cb410ce77ec6e984a9f15b6bca1e957a122948

Observation 0976c304-b02f-4ff6-9bf6-e39c9a2afaa2 · outbound

This paper cites Simple probes can catch sleeper agents, 2024.

Emergent Response Planning in LLMs Simple probes can catch sleeper agents, 2024

Reference 24

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T16:18:48.028338Z digest=sha256:ff354435b153c57625025d6366cb4a9b89c47764b8e354623736246d7a481191

Observation 6c679f17-77fb-4d98-a56a-60284d540402 · outbound

This paper cites Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models.

Emergent Response Planning in LLMs Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models

Reference 25

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source=arxiv_source observed=2026-08-08T16:18:48.031046Z digest=sha256:53e36165e808fa4bb49cc9b2a9950b15d17c29f56c5a07c3da211a4e0fa91457

Observation dbcefde8-ca24-4d8b-872e-a7f616ffda72 · outbound

This paper cites A corpus and cloze evaluation for deeper understanding of commonsense stories.

Emergent Response Planning in LLMs A corpus and cloze evaluation for deeper understanding of commonsense stories

Reference 26

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source=arxiv_source observed=2026-08-08T16:18:48.033602Z digest=sha256:ad06f3f564388a3c4e517bb5837ba0851d982637dc2f9190fe69ae6dbc269d07

Observation 5d461023-8bc8-4b14-b412-9e4f2c41fc11 · outbound

This paper cites interpreting gpt: the logit lens.

Emergent Response Planning in LLMs interpreting gpt: the logit lens

Reference 27

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raw_fallback, observed 2026-08-08T16:18:48.427737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T16:18:48.035896Z digest=sha256:f125aa6c27737935eb1e0ee6773b852399dd10ed188264a7dfc6c25a2042dc7c

Observation c0d2376e-38f3-4cc9-90be-431a2f480e8b · outbound

This paper cites CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.

Emergent Response Planning in LLMs CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge

Reference 28

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source=arxiv_source observed=2026-08-08T16:18:48.038172Z digest=sha256:dde9e5448e23b36af5ebcc17f54e87780079bf96d9c06c906154c360886fe805

Observation 23e78103-00d3-4091-b0e3-4f8950d40fa9 · outbound

This paper cites K., and Sankarasubbu, M.

Emergent Response Planning in LLMs K., and Sankarasubbu, M

Reference 29

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raw_fallback, observed 2026-08-08T16:18:48.418001Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T16:18:48.041345Z digest=sha256:bcc958739e7b102407bb85b73e2ed9cc298a6e18904c8c6685be02658e578469

Observation 95d57a9e-f81f-4161-b536-0f9420188161 · outbound

This paper cites Future Lens: Anticipating Subsequent Tokens from a Single Hidden State.

Emergent Response Planning in LLMs Future Lens: Anticipating Subsequent Tokens from a Single Hidden State

Reference 30

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source=arxiv_source observed=2026-08-08T16:18:48.044284Z digest=sha256:58215da8762e7243048f6d67bfde2458a17fe1a8608929f30d7cbdb6912281b8

Observation e564872a-6070-466a-b370-d908e7e357b1 · outbound

This paper cites Extracting Paragraphs from LLM Token Activations.

Emergent Response Planning in LLMs Extracting Paragraphs from LLM Token Activations

Reference 31

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source=arxiv_source observed=2026-08-08T16:18:48.047439Z digest=sha256:96b1de873a62f8c24ecefbfce9b465cd378245cb782e7004b114780ca80448ce

Observation a520a57d-3378-4a4d-9dc7-2d9cb41cee1f · outbound

This paper cites HSF: Defending against Jailbreak Attacks with Hidden State Filtering.

Emergent Response Planning in LLMs HSF: Defending against Jailbreak Attacks with Hidden State Filtering

Reference 32

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source=arxiv_source observed=2026-08-08T16:18:48.050551Z digest=sha256:4efab70414aca9f49cd6c3e87f57f729773c12feb4d6d10e71b802fa6282cdd8

Observation 3266c3b8-3f4e-4b81-bcc1-ab336828369e · outbound

This paper cites Weakly Supervised Detection of Hallucinations in LLM Activations.

Emergent Response Planning in LLMs Weakly Supervised Detection of Hallucinations in LLM Activations

Reference 33

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source=arxiv_source observed=2026-08-08T16:18:48.053987Z digest=sha256:587a4b461c34c79ae246eba52167ba61d0c6c771eab1b2ba262cba65009432ce

Observation e437a7ed-ca31-4459-ab65-c20a89840a3e · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Emergent Response Planning in LLMs SocialIQA: Commonsense Reasoning about Social Interactions

Reference 34

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source=arxiv_source observed=2026-08-08T16:18:48.057141Z digest=sha256:20b474ad9d23d5e8b774746ce74f6a885f9b4c624d89a0c96b3050c264d9d791

Observation 27d55db6-a4fc-4a8f-9bf3-95086387f024 · outbound

This paper cites Self-critiquing models for assisting human evaluators.

Emergent Response Planning in LLMs Self-critiquing models for assisting human evaluators

Reference 35

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source=arxiv_source observed=2026-08-08T16:18:48.060462Z digest=sha256:c436fb94612d52e8f94d80addb258ebdb31f35a8dd1a14c9fd75e96b9a2a411d

Observation 98dd7d42-11d9-404d-8fa2-7d670c480cc5 · outbound

This paper cites Analysing Mathematical Reasoning Abilities of Neural Models.

Emergent Response Planning in LLMs Analysing Mathematical Reasoning Abilities of Neural Models

Reference 36

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source=arxiv_source observed=2026-08-08T16:18:48.063785Z digest=sha256:fa81032315d85c89329f5cce6fb3044573b28470f70756a0b535e168626302df

Observation 66fd9067-61aa-4586-bab0-56b85ff56f80 · outbound

This paper cites C ommonsense QA : A question answering challenge targeting commonsense knowledge.

Emergent Response Planning in LLMs C ommonsense QA : A question answering challenge targeting commonsense knowledge

Reference 37

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source=arxiv_source observed=2026-08-08T16:18:48.067135Z digest=sha256:928fda58f38bace3d162b47735c6600893cdb5a14faf76c3a0ce505647e0c306

Observation 8b641070-b48a-487e-9516-2663674491f3 · outbound

This paper cites Understanding LLM Embeddings for Regression.

Emergent Response Planning in LLMs Understanding LLM Embeddings for Regression

Reference 38

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source=arxiv_source observed=2026-08-08T16:18:48.070193Z digest=sha256:bc4c6d984b14ade460c65a3518f37a118f57e64099af47ae932f7b887a61d1fb

Observation b9a80763-f789-43b5-9538-0b01502d5cc4 · outbound

This paper cites an unresolved cited work.

Emergent Response Planning in LLMs Unresolved cited work

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.073278Z digest=sha256:820a5879ae0c9392ccf5a2deecfcaa4712fc49ef1773cef7c35759ab4153d6a0

Observation 8934df32-2cd7-4712-9a22-077e72e5885e · outbound

This paper cites Qwen2 technical report, 2024 a.

Emergent Response Planning in LLMs Qwen2 technical report, 2024 a

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:18:48.403049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T16:18:48.076245Z digest=sha256:d9b94fb1e33b7d69175788f0943cad1f5ad3b75b9bce2d25ec48ddecaaca22fc

Observation 6670fd9d-6915-4f85-9d81-561a989a199a · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024 b.

Emergent Response Planning in LLMs Qwen2.5: A party of foundation models, September 2024 b

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:18:48.394067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T16:18:48.079525Z digest=sha256:4ec5ece50a633c7b7c2bdd60180d037ffdad424f89cc1345d1a6e4d8d8d429a0

Observation de0bcd12-d4f8-404a-98ec-14c197a28370 · outbound

This paper cites The FEVER2.0 shared task.

Emergent Response Planning in LLMs The FEVER2.0 shared task

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:18:48.383596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T16:18:48.082443Z digest=sha256:0579a7466991dbf761e9a6381fc376b830a3533305d73f2f57665f397102b0a7

Observation f9e77c85-98ce-476a-acca-d33adce74daf · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Emergent Response Planning in LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:48.085602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.085602Z digest=sha256:eee9fe183ce64a5d4753bb0cfe77ad1d52de2146694646f4b528f7f184f86894

Observation b4c1b88c-95a4-428c-8807-f92a8e3492cf · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Emergent Response Planning in LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:48.088507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.088507Z digest=sha256:19b6a45b486bd36ea4956dfdc30dca4fbc41d25dcbd7fea10c1e45f0e22face2

Observation dd6376b4-6291-42d6-bb3d-a546883eb95f · outbound

This paper cites Steering Language Models With Activation Engineering.

Emergent Response Planning in LLMs Steering Language Models With Activation Engineering

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:48.091843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.091843Z digest=sha256:40604953e1c7f0340d3d4cb091bc6a389bc7cfa5e51fb5918e3a90b21b98c2d5

Observation 79172315-c762-48d2-9717-f7fff66c6ea6 · outbound

This paper cites Do language models plan ahead for future tokens?.

Emergent Response Planning in LLMs Do language models plan ahead for future tokens?

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:48.095048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.095048Z digest=sha256:82b9f8f210b64f293a26a8521841bc8ada504b8065e71cf01334c03988a8b2a9

Observation 0b066448-70c5-47a9-ac1e-1dbd211a0854 · outbound

This paper cites Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models.

Emergent Response Planning in LLMs Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:48.098107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.098107Z digest=sha256:7ccfbd5e2f0a7c879f66b749e239e3b06dd2262f6a1dc2d97988d74f2f2e4dc1

Observation 07003b1c-532b-4b8f-8a6a-e302c2a1404d · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Emergent Response Planning in LLMs Representation Engineering: A Top-Down Approach to AI Transparency

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:48.100866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.100866Z digest=sha256:415146f07662751635255ae12546252b9c5c3d68d88d9b75e731ea8839a25356

Pith citing papers

Observation d726d933-2de0-4a64-908e-4a645bb06444 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Emergent Response Planning in LLMs

Reference 163

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:41:23.392599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:eb5ed647f37c811a7f2eadaf6a328009fa1cd39c2c4258b0593d0843402cf3e7

Observation b121ac60-e2cc-4638-8084-873d122e4e80 · inbound

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law cites this paper.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Emergent Response Planning in LLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.053536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.053536Z digest=sha256:e7d1c5ccf3a4b73f839fb5d9f817c5c3985d25b418c6cdabcca1751e3871d35d

Observation 541b15e9-20cb-4b37-89f1-c02d31256b69 · inbound

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization cites this paper.

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization Emergent Response Planning in LLMs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T09:48:04.166545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:48:04.166545Z digest=sha256:2ab5a12021ea81967ecc8b5a1356a98ce06c149bbe4f696bcee5324e63ac1849

Observation 089c28fc-554f-461b-a781-e10a242abc70 · inbound

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation cites this paper.

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation Emergent Response Planning in LLMs

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-09T21:33:29.557075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T17:23:50.486306Z digest=sha256:0b9f83f4380c984a07aac7e34495cc20b6fc08091529c2905236546f95b0491e

Observation faa4c56e-20a8-4efb-8cfa-6d4158898212 · inbound

From Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond cites this paper.

From Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond Emergent Response Planning in LLMs

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:15:51.054569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T04:03:43.513802Z digest=sha256:7bc9093175c45448c922a8cb0cd00bb7f64b5e4fd9fe974f71587c2ca88b90b6

Observation 88b8a5a6-bec6-4c7b-8845-698c480b8931 · inbound

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States cites this paper.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Emergent Response Planning in LLMs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T15:02:07.349920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:02:07.349920Z digest=sha256:71070347393dbf4a79ef17f7dd30e3c20bf85548e51aa06d8d3a77bbf6fb4dac