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Paper Citation Record · LEDGER

DeepLook: Deeper Thinking with Lookahead

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.22602.

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

pith.paper-citation-record.v1
2607.22602 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:32:12.716308Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3304406b-5f14-41c7-859e-c1b1abccea5d · outbound

This paper cites Deep Think with Confidence.

DeepLook: Deeper Thinking with Lookahead Deep Think with Confidence

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:32:08.734548Z digest=sha256:8cbb239cb920a0d9a18f24b9e4052483282dca226f4e3df7bbfdef8be44d2e9a

Observation 2dd7e4c2-ef98-4b9b-abc9-8a4e60e5c531 · outbound

This paper cites DeepPrune: Parallel Scaling without Inter-trace Redundancy.

DeepLook: Deeper Thinking with Lookahead DeepPrune: Parallel Scaling without Inter-trace Redundancy

Reference 2

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source=arxiv_source observed=2026-08-02T11:32:08.912730Z digest=sha256:97bda6b2359d1155182ddf3395dcf70f1f7c0c101b1def48cd81a6c5da40624d

Observation 8410cb8a-40bb-4740-bc50-5b22074b9119 · outbound

This paper cites Non-myopic Generation of Language Models for Reasoning and Planning.

DeepLook: Deeper Thinking with Lookahead Non-myopic Generation of Language Models for Reasoning and Planning

Reference 3

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source=arxiv_source observed=2026-08-02T11:32:09.068904Z digest=sha256:b3eb71df562859ec441c62f7c345036902fb6a229314853824c7c0d1aee5557a

Observation 9cf4dcce-a3b4-4033-8d65-325d62e1c41d · outbound

This paper cites $\phi$-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation.

DeepLook: Deeper Thinking with Lookahead $\phi$-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation

Reference 4

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local_arxiv, observed 2026-08-02T11:33:21.838443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-02T11:32:09.183850Z digest=sha256:b68a163a44c220c9901fb4bb969059cb6957c893f30c257504429e48eeacf737

Observation 7490702c-1e9b-4acb-b52e-1c7ce2f6fe80 · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 5

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source=arxiv_source observed=2026-08-02T11:32:09.344511Z digest=sha256:f3328bd7bcf43c18eee7894dfea7010eb1e8135280e7900a27740709f7a9bcfc

Observation 12abafd5-c8a9-43c0-9d5a-8109118b41a0 · outbound

This paper cites 2026 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2026 , eprint =

Reference 6

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source=arxiv_source observed=2026-08-02T11:32:09.499853Z digest=sha256:a7dd7044873c5c3651d683fb8d6e525131d81408eb5cc5d83d9f338fb3a39c1d

Observation 4a541a8d-403d-4afe-a852-fb88f0d47e6c · outbound

This paper cites 2026 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2026 , eprint =

Reference 7

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source=arxiv_source observed=2026-08-02T11:32:09.611439Z digest=sha256:043625c38819752f70c79f8af503b8f6f75c1799985e0515981ef56e18f80c32

Observation 01d68a84-2da2-4a72-8ec6-bfda5a1e31b7 · outbound

This paper cites Qwen3 Technical Report.

DeepLook: Deeper Thinking with Lookahead Qwen3 Technical Report

Reference 8

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source=arxiv_source observed=2026-08-02T11:32:09.732653Z digest=sha256:f2d5c161462b6c3bc2f545cb0af3e80f37e5bf17f724a3a496e7b89f483aa580

Observation 4b4d5b9a-b359-4b40-9d63-e6cf473061b9 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

DeepLook: Deeper Thinking with Lookahead DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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source=arxiv_source observed=2026-08-02T11:32:09.836379Z digest=sha256:ec5ab88c48dd3d4a8b30f29e760af44926642937f49e82ac3ee5fe56cdbb2375

Observation addea37d-373d-4e3e-a43d-c78ba67ed8ed · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

DeepLook: Deeper Thinking with Lookahead gpt-oss-120b & gpt-oss-20b Model Card

Reference 10

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source=arxiv_source observed=2026-08-02T11:32:09.955436Z digest=sha256:48f97817958b6f58e6e5332b2d59815618ce233eba4b09b7a0be3eaaabccdc67

Observation 2b38dd8a-6c7e-4432-b367-9f4e5397648a · outbound

This paper cites Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.

DeepLook: Deeper Thinking with Lookahead Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 11

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source=arxiv_source observed=2026-08-02T11:32:10.068780Z digest=sha256:39fb59354e071748231894be6abbb201719db6117d66bc7a4e52ab38d8664a2f

Observation 65e0338d-9362-4865-ba06-d279d0045565 · outbound

This paper cites 2024 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2024 , eprint =

Reference 12

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source=arxiv_source observed=2026-08-02T11:32:10.168101Z digest=sha256:302cfd343da54f4b03ad7fe108dd7e6dab0b553025470293af6c2c7e34fa5c32

Observation f2a2a795-87d5-43de-ba4a-dd3cf75d9851 · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 13

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source=arxiv_source observed=2026-08-02T11:32:10.274100Z digest=sha256:d5c6a3b3b806a04a64bfffefd86eb3f9a5959d21b9d411ee740558e88fffb880

Observation a57551e2-a045-4eec-a90e-e0f5f6c608c4 · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 14

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source=arxiv_source observed=2026-08-02T11:32:10.338121Z digest=sha256:e59ea334ced8598d3c4e1791509c1b53b9e31a67966d95b5c557505c7ea0e011

Observation 1a51cbfb-1e6d-4178-9772-8408a14775dc · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 15

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source=arxiv_source observed=2026-08-02T11:32:10.448677Z digest=sha256:a3277bda2ae4525e822ed92423132fc879e692838c86ae324364b563698c5d73

Observation 12933535-9a10-4a31-b980-5bca7266a891 · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 16

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source=arxiv_source observed=2026-08-02T11:32:10.565778Z digest=sha256:f95167193afd3ef730e3371d4d2d87f8f4894155b2e9c220647ae704d18d947f

Observation 1f30a0c1-79c9-4fd1-a6d2-450c1bd3d1a4 · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 17

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source=arxiv_source observed=2026-08-02T11:32:10.675338Z digest=sha256:199f34d67d56f702546b0f7b09e4fb85f31e53bbb7c889e8473ab3372958137a

Observation 48c199e4-828a-4e22-9a52-f0b9a19ed1dc · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

DeepLook: Deeper Thinking with Lookahead ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 18

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source=arxiv_source observed=2026-08-02T11:32:10.762124Z digest=sha256:ba3da5538a9e6c54de076cd24aa78f06ef6ff1b6d985a135ebaf2278dea1861c

Observation df7b949c-dd2d-4db7-8711-c787a309460c · outbound

This paper cites TokenSkip: Controllable Chain-of-Thought Compression in.

DeepLook: Deeper Thinking with Lookahead TokenSkip: Controllable Chain-of-Thought Compression in

Reference 19

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source=arxiv_source observed=2026-08-02T11:32:10.886821Z digest=sha256:299dccc5f21d8589f45eb75c3eda173e16410f0cb4cd2a249ecb3e65b6da06be

Observation ab87ea34-ddca-4c16-99ea-e91f58e1e7cf · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 20

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source=arxiv_source observed=2026-08-02T11:32:10.979437Z digest=sha256:0266b1d3ad174887fdfd68a53ee23a95156ce6ab4c8459c086f0709b02988e37

Observation 0cfeebb0-f9dd-44f3-a30a-b6c3588e01ef · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 21

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source=arxiv_source observed=2026-08-02T11:32:11.077009Z digest=sha256:d5ff0819da51d43def0354a42fa7669c3f5d689b5b0b4c05bc31d1a43a03c04e

Observation 5c98dfdb-b0da-4337-902a-be445b3875c7 · outbound

This paper cites 2025 , eprint =.

DeepLook: Deeper Thinking with Lookahead 2025 , eprint =

Reference 22

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source=arxiv_source observed=2026-08-02T11:32:11.163968Z digest=sha256:691fd3e69aa358154555233a462e76e4cffd3e9228a61bc37e2ba2da9fa52c89

Observation 8de78f23-8e05-4819-a49d-5ea880bc0f06 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

DeepLook: Deeper Thinking with Lookahead Large Language Models are Zero-Shot Reasoners

Reference 23

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:32:11.260339Z digest=sha256:9c44dce1f23324b3802a2a10d35b4b61649f2364fda96271a93dd4897950a61f

Observation 5eb99002-3b6d-45e8-9eec-e72f38b18d68 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

DeepLook: Deeper Thinking with Lookahead ReAct: Synergizing Reasoning and Acting in Language Models

Reference 24

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source=arxiv_source observed=2026-08-02T11:32:11.338353Z digest=sha256:b59af8e45f484c92c9599ca050d28acb94a335f11230c55bf94c6964904c0466

Observation 0e711cb0-77db-4dca-9b62-7d969abceee4 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

DeepLook: Deeper Thinking with Lookahead Self-Refine: Iterative Refinement with Self-Feedback

Reference 25

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source=arxiv_source observed=2026-08-02T11:32:11.435918Z digest=sha256:56c2bf21e708c1b0b7c12098eb18f0eb0de8bb367fe4f23eac39c5562ced80a3

Observation 0efde75a-dc2d-4a1d-949f-9d3d48408be5 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

DeepLook: Deeper Thinking with Lookahead Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 26

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source=arxiv_source observed=2026-08-02T11:32:11.505407Z digest=sha256:b216eaec3e7d3e8c22b838c4747f245332dbce004402ef8c8298975f0097733c

Observation af10925c-2a77-426f-bd03-e0318421974e · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

DeepLook: Deeper Thinking with Lookahead Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 27

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source=arxiv_source observed=2026-08-02T11:32:11.634515Z digest=sha256:032c0d1119bacc27620bd1bdf9661bc998e9c63b11e03e8acf4632d0f3a0d930

Observation 27bb3d33-c32e-448e-819e-35f9644a2dbb · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

DeepLook: Deeper Thinking with Lookahead Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 28

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source=arxiv_source observed=2026-08-02T11:32:11.745050Z digest=sha256:cff347eb554fcdeb628bed4964ba37c96ebdfe773396fba5e11567cbd7a21afd

Observation d0483525-6824-4f49-9ad1-a3ac0dfeb6c5 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

DeepLook: Deeper Thinking with Lookahead Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 29

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source=arxiv_source observed=2026-08-02T11:32:11.892511Z digest=sha256:c4868e5477a5205f1eb12201e082d846948e08a2aa34f112713e82213795c962

Observation dcd834b7-5b8a-411e-ab42-da7c91e148a2 · outbound

This paper cites Let's Verify Step by Step.

DeepLook: Deeper Thinking with Lookahead Let's Verify Step by Step

Reference 30

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source=arxiv_source observed=2026-08-02T11:32:12.004184Z digest=sha256:bacb5610ab0ab08210bffbc4bb6199ca3504d8b737f62ffdb0d2ae3c80bc28ac

Observation 786d2102-bad1-4240-8c73-15e69a1df66c · outbound

This paper cites Language Models (Mostly) Know What They Know.

DeepLook: Deeper Thinking with Lookahead Language Models (Mostly) Know What They Know

Reference 31

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source=arxiv_source observed=2026-08-02T11:32:12.171039Z digest=sha256:7b2e5b6d1748ce7445c415d3744c82e0fe0c38cd5c69862206b0653f261fb452

Observation 3ceb0b69-7bca-4d85-89e4-afa159b00202 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

DeepLook: Deeper Thinking with Lookahead Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 32

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source=arxiv_source observed=2026-08-02T11:32:12.300687Z digest=sha256:f4e6aeb6d883d7a7956e7901689ee17874e1cccf409bd7db70454b13506f22ee

Observation 1d7cf539-dde8-427b-a70f-a7701dc3bcfb · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

DeepLook: Deeper Thinking with Lookahead Reasoning with Language Model is Planning with World Model

Reference 33

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source=arxiv_source observed=2026-08-02T11:32:12.427553Z digest=sha256:2ab73d61a487729684c95ca393a946022a21e08bcf14b7231b81cc16150cf6dc

Observation 071b8b69-acdc-4d68-a519-21b9c30adce2 · outbound

This paper cites Graph of Thoughts: Solving Elaborate Problems with Large Language Models.

DeepLook: Deeper Thinking with Lookahead Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Reference 34

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source=arxiv_source observed=2026-08-02T11:32:12.474420Z digest=sha256:2473da2c2a6603119199da9565a27e05796e5a5b0b86e918fbba06f9f6610c18

Observation 5a251a68-a97a-4ce5-b030-4a30e0f7f6c3 · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

DeepLook: Deeper Thinking with Lookahead Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 35

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source=arxiv_source observed=2026-08-02T11:32:12.529986Z digest=sha256:57e358edaefe3ffdcbc429306ff7e374fc9e78772a36286f3c6543d6e52a34c7

Observation f2c918b6-9faf-4be9-9077-56bba2610485 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

DeepLook: Deeper Thinking with Lookahead Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:32:12.619108Z digest=sha256:1b375475d4d544d495ff154956ed2ef03344ab865217616a7a47804e56680668

Observation 89dffa39-1203-4507-988a-72ab5b701be1 · outbound

This paper cites The pitfalls of next-token prediction.

DeepLook: Deeper Thinking with Lookahead The pitfalls of next-token prediction

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:32:12.716308Z digest=sha256:6d19d1639f11e3b946dd4a9e1e5c34bd8a164ebbadcdc3c88d1fe4b8d7d36be6

Pith citing papers

No inbound Pith citation observations are available.