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Paper Citation Record · LEDGER

DeepLook: Deeper Thinking with Lookahead

As of 8 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 2026-08-08T06:32:00.761636+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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source=arxiv_source observed=2026-08-02T11:32:08.734548Z digest=sha256:053d00b1b5d65131a66ea3c14243729cf19b3ca34a0746c81fd7b29c0c0c6c64

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=sha256:1283f884f88eebd2572fae111509f962ec153e373c9f9b28aff256708972efef

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:eee192589fdfa2d2e39d17496055f6f43be36ece9d23c9b307c115562b17dec2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-02T11:32:09.183850Z digest=sha256:79f2f3f1007eeb48aaf81846b7571d3e0710a4eba0c1b1bb899b38752bd77cec

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=sha256:4d66a8fed3971c48776538b1f31a6dee6ea77ecd992427e7ae5e783ee61f1f1a

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=sha256:53e54348233dbb904637807ca8a79d69ac455a0a718b19a28dfd52fdc10b7237

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:c8b6cdb93fc1a1017cc6c5b669712151c6047b419e5bda279146f08be8ecd505

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=sha256:81f02fa556cb6fe91e24f798dc5be1e8bbc14a6dab4c189ac877ccaa5a0a362b

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=sha256:9145b6b50b272a6be2225073fa758a7b427d3c1de284f3d1144814177a6dea5c

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=sha256:1f68d1f0eddc1cbc4b21215c8abe9923971382f62f9c952aa700b0666c7005a7

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:fe615da3d81dad2cec663d615f94d26f3434f9d3a6218717e9b64d675a98a9d9

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:bff6e4a84b76903d1a60c36c758d1f369c5513b508884b409888979a8933ea4c

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:d37b5d220d57226f23d62f7c35123c32b1cc9125d977714bf045dd55a9bc65eb

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=sha256:035ba6632b5a5accd504fbabe52767a72aad92d795e5c8391b1bd712b372d2df

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=sha256:24b4a21e9981f3161caef7a118d5707c9777244e5dae2b2a678e31dacd53cdc2

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=sha256:906a55b9d95e553d411447899b2e5803598fdd65db41914345aeb20ac80ad863

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:afaf888e556168d3dd5af42a600f2a18a4dabf5b0762c632d7afb7bdf7a1e11b

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=sha256:9947a863cbd1eff985415180d7ecab07168a65587bade4d90f6348b05ce64deb

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:d8f2bc68f36998c4da1359423c77634b5130fdd3ebc14f682fa976a04e9cff21

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=sha256:5974ad1f1751e727f752b4574998b57386197b3a0a8f361e332bba3cf16042f9

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=sha256:90d17e130adfc57a484fa14eaccca3bf6c12ee5f1f82cc2e4c3fa257a83a8b46

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=sha256:9916e090060403916b755a76f91d4419ccbfc84840c6a6a63f517e0c1b2ab11b

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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source=arxiv_source observed=2026-08-02T11:32:11.260339Z digest=sha256:9812a82f0af2fbef748aa1afe471dcdbe77045736910bed418420a54b95c4ffb

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:b9de793ddbc7aa65b15ef0dca1f370019494feaaf7843a12717291568a48f548

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=sha256:0a1fefc79e6669aa5284addf29d2e8b6cc2dec50e068a31baa3bb9ed8b256002

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:a55d3e5ee67967f9611fd05e1099dd4cb140c7f01ca78b7600cf42fc08ac08ff

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=sha256:22f6ce44545ec46c45b66ef1db61c78889ab47611dfcdefb0184cb8d5119deae

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:c8e763320a963804d0dac69b26dca6322345260259cd1e708b6e61d823689b9d

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=sha256:68f0392064fb082a8a72f31c13b285d503ab2081c77b14855ba593d7d23b97cb

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=sha256:76ef60dc6979c9594faad47da64bc29f72db51328551bde5201e1e24a1e8b3d5

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=sha256:73e2a9c3abc34178f069322aac80681eee9ad9fa514d175ddbf0a40cc6dc9dc0

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:f78bf59b52aa8f0c9643759fc6549bbc09b08cf2566895df061e45e2ad77a48e

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=sha256:16e675939a144855b5031ff7fdbea291430aea36cf1b2d1669f01a2b4d03a10c

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=sha256:9ff8499ffdb129c4b70b2bef29f1878a6b3a40bdd5c33667832345bf3358f5ae

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=sha256:83d0cbb159f6c2d7150fb4d7244d91af9608e060366e36a659160531062ba968

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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source=arxiv_source observed=2026-08-02T11:32:12.619108Z digest=sha256:15fc7d9606c2569804231766d824aa990f10328f6e0d09e9707fe67953294401

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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source=arxiv_source observed=2026-08-02T11:32:12.716308Z digest=sha256:993159d171ec5d74290463f286001aa0d81d2b63e224265b219d524b15d168d8

Pith citing papers

No inbound Pith citation observations are available.