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Paper Citation Record · LEDGER

SAND: Boosting LLM Agents with Self-Taught Action Deliberation

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.07441.

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

pith.paper-citation-record.v1
2507.07441 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:47:23.367773Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1c58432-c1bf-4e9d-9d6d-d27380de17db · outbound

This paper cites online" 'onlinestring :=.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation online" 'onlinestring :=

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:19.026216Z digest=sha256:b9d0dd25b6cbd730b8be0f1c98c39d7809e2e5c7df8e0bdcf4c2ac2a142706bb

Observation b1345c0c-97ec-4bdb-ba76-79784be37139 · outbound

This paper cites write newline.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation write newline

Reference 2

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source=arxiv_source observed=2026-08-06T18:47:19.120230Z digest=sha256:69d0d68f2111cfb84c539334620a07b8d7d716388565544c6f422edc4d87ca8a

Observation 1f951891-0a63-4b3b-98d3-0325132dc1e0 · outbound

This paper cites GPT-4 Technical Report.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation GPT-4 Technical Report

Reference 3

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source=arxiv_source observed=2026-08-06T18:47:19.247638Z digest=sha256:759081c023686511d5f1cd27f158f93265f463cea5a3496aafe5cad4e782cbc9

Observation 4ece5b4b-0d92-46bc-a299-ae61de169c11 · outbound

This paper cites FireAct: Toward Language Agent Fine-tuning.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation FireAct: Toward Language Agent Fine-tuning

Reference 4

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source=arxiv_source observed=2026-08-06T18:47:19.417248Z digest=sha256:e33c03dad186def4bb50d9eb16bdbb875568cd5c93ff53d5323a57150fb1fd88

Observation f1b399fd-71c6-495a-a48b-3b945872a3c1 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:19.555232Z digest=sha256:b8803885852709bef3f1b3d6b865901e98b5fcea893fab4971ed4fb7f013bb13

Observation febc73ab-b7d9-42e1-9fb6-6c1cc19d2ae6 · outbound

This paper cites ATLaS: Agent Tuning via Learning Critical Steps.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation ATLaS: Agent Tuning via Learning Critical Steps

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:19.688593Z digest=sha256:fae67988ed4996a9995d148ed149d6a693f715f5cd9de9742cd75c25712eada0

Observation 2c1495a5-144f-40fd-bcbb-48e8e818efe4 · outbound

This paper cites The Llama 3 Herd of Models.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation The Llama 3 Herd of Models

Reference 7

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source=arxiv_source observed=2026-08-06T18:47:19.800141Z digest=sha256:8e09628a5e9ae32de5c36fc478e9a0327dbfa30b7fd5bfa833408552b1fe2f08

Observation e922bb64-c738-4675-aed0-39776862d27a · outbound

This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 8

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source=arxiv_source observed=2026-08-06T18:47:19.985383Z digest=sha256:d22896c77fa4dc6e47fd492e330ec481c9e24fb78bbaacd0cc473f0ebc38e9ca

Observation d479af49-068f-4c8a-b185-056e521f23de · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 9

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source=arxiv_source observed=2026-08-06T18:47:20.145227Z digest=sha256:2e05e9e837ff4b3efc31bacf0f8c05a87a17296e197eed8ccd82624509fd70a6

Observation 83ca68c7-130b-41d1-95ca-d456ecddac34 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-06T18:47:20.251707Z digest=sha256:6041de33cbbb5b95de50d5e4cea8c8b4f37b5506d64800c72ce835a61e765267

Observation 9c83b9cf-8803-4826-b029-1e45f8a4ea5d · outbound

This paper cites Internal Consistency and Self-Feedback in Large Language Models: A Survey.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Internal Consistency and Self-Feedback in Large Language Models: A Survey

Reference 11

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source=arxiv_source observed=2026-08-06T18:47:20.378177Z digest=sha256:a5548551c798cab577d15ce3701309b530def5438ec96a0c2805770d92dcf936

Observation bcac6f08-a539-4ce4-a1a4-233b120afa61 · outbound

This paper cites QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search

Reference 12

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source=arxiv_source observed=2026-08-06T18:47:20.506045Z digest=sha256:ada1f6bf0eefe43bad9eeb0c17bca36c1d01ece66e222ae1d6a5b38f058bf3ae

Observation dfeec77f-50a9-43e2-98f4-73c923cc7f89 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-06T18:47:20.615254Z digest=sha256:db726aa02270e0275ce0e3ecba99851caeb2e3af74288e2b7b832c6b4645afa1

Observation 2a1dce29-d0dc-4b0b-ad32-2a4042ff241d · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation WebGPT: Browser-assisted question-answering with human feedback

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:20.674156Z digest=sha256:9dcc9c0294ca280124daa199963c754d45359d7fdcc5ce5190879fa83c000f46

Observation 0e540441-45df-4b22-9e46-e1c6f479d971 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:20.801364Z digest=sha256:02bd84fbb00a6f216a5b56bb25bdda29fe47df8fe00bd59911fa38659690cf5c

Observation b9d1d53f-8349-4011-adc4-2a88be6ebd52 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 16

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:20.899057Z digest=sha256:d3bc4b0881b695d6f30e9ec4566d4305dc61d65d2a6b00087a71d7efba1adad5

Observation e1f0d83a-7e41-47e9-bcfb-b47baaca3f27 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-06T18:47:20.991436Z digest=sha256:1d51a1b6d7df74342bf1cceeae63097712df0ab592cfe6952c9c0743275f1f93

Observation e8dd96be-fad7-46d0-b042-04279887dcd1 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 18

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source=arxiv_source observed=2026-08-06T18:47:21.086928Z digest=sha256:2470124a968e051ab2f0593c82ad0e95550b37e402374564a4186e82120cdf91

Observation ad2e3530-7d07-41c3-a562-a53f5142c921 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:21.253533Z digest=sha256:136528c5d2efd73686e67eae1f3c50ca7b6c2eae683917ab08a486c0016f2c90

Observation 7d8b0230-658b-4639-bf03-1e40356300d7 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-06T18:47:21.432756Z digest=sha256:9ffc0244ea9f4f83a88618b15359cddb35ad84d432517cf11e2a65258626e2e1

Observation 165adf27-7a16-4ede-b22a-c2a605c72513 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:21.561733Z digest=sha256:349de2b53189de31a02579440fe1d9a1d809f3f1a779be877b2fcb477a6e9268

Observation 1cad929e-0d5f-4796-9417-4ee8127b40f1 · outbound

This paper cites ScienceWorld: Is your Agent Smarter than a 5th Grader?.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation ScienceWorld: Is your Agent Smarter than a 5th Grader?

Reference 22

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source=arxiv_source observed=2026-08-06T18:47:21.659567Z digest=sha256:98bae48a3d9d4ba1d9ad27376091cb626fa28652808f407989204bbe7a7de4c2

Observation a6362ff3-168c-41a8-a62c-e50eb85720ec · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 23

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source=arxiv_source observed=2026-08-06T18:47:21.809976Z digest=sha256:f32207403b9a44d12356899b42da79ffc200048bef9c316f1f9e5f6a0bf73257

Observation f015df02-002d-4ea6-832d-a0b9e3e87cd4 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-06T18:47:21.904965Z digest=sha256:d2de751420f541a4d65a190b24349b7dcdbf5efa1a6e03dde4a2a2e8d6cb882e

Observation b0bc5883-362f-47e2-b5bd-e51e120a841e · outbound

This paper cites AgentRM: Enhancing Agent Generalization with Reward Modeling.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation AgentRM: Enhancing Agent Generalization with Reward Modeling

Reference 25

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source=arxiv_source observed=2026-08-06T18:47:22.078905Z digest=sha256:7898b0dd6bc0075125e970c6106b6739f764e3bd229b00e00a30bced31326d9b

Observation 099e01cc-e3d8-45c5-af70-45b54d5a7a0c · outbound

This paper cites Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model

Reference 26

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source=arxiv_source observed=2026-08-06T18:47:22.180797Z digest=sha256:67041b10ac817d4a86343b5295c92d942b5f2be22109238a13419b5f765bc796

Observation 8a51431e-3524-489a-8c88-44714305f71a · outbound

This paper cites MPO: Boosting LLM Agents with Meta Plan Optimization.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation MPO: Boosting LLM Agents with Meta Plan Optimization

Reference 27

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source=arxiv_source observed=2026-08-06T18:47:22.268797Z digest=sha256:fe689234ee31c733922f65e7a3c16b94f311ec145ee7818eb17131ea277ef006

Observation 192b2273-cd1a-48aa-ac22-ec79c06ddf31 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-06T18:47:22.338609Z digest=sha256:22cdae7f53ed1a3cac204c291df52ec2aa1b328495d450b96f80360301f9e5e2

Observation eb61d8e1-ed56-40a8-80e1-784696faf346 · outbound

This paper cites Qwen3 Technical Report.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Qwen3 Technical Report

Reference 29

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source=arxiv_source observed=2026-08-06T18:47:22.420291Z digest=sha256:ec5fbafc44c9927209cc1abf7da84c9873f3ad23c63c587608905d928d3eaf32

Observation ad3bb6f5-ff79-4a3f-b4b1-70497cacb9c7 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-06T18:47:22.629414Z digest=sha256:9baa50f82eed874f9af0ea05b1476ef13a962eb643fb977df7387d5edbcc6477

Observation 6659a5b5-b057-4067-bf44-5df7e27399e9 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:22.792944Z digest=sha256:62bb663e36a7dc5080006dca80d14c6fca5000c1ee417e517794fd892956b7f2

Observation bfaa7b3a-f669-4c3d-badf-bb1c07864b51 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:22.943545Z digest=sha256:edf0a093014700bb8fd23d7dcccfb04a0bb1b0c7dbcbe88c1f9a41312303d80b

Observation 5e784283-0055-4fc5-9ae7-06df5910fdd3 · outbound

This paper cites Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Reference 33

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source=arxiv_source observed=2026-08-06T18:47:23.023790Z digest=sha256:b7ba7417e4eb01dd8034a77f68df07abc0b9aa2e362f2a1170d8e6a6f207fdc1

Observation 1bd3cfd6-4049-470e-af4d-e5c63b7094da · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 34

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source=arxiv_source observed=2026-08-06T18:47:23.075419Z digest=sha256:324db5d918cc2f9fdc546425469c63512cef483fbed463ad2187b710f707151b

Observation e4efc397-8e73-4806-ab5e-4ab405074120 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:23.191916Z digest=sha256:b2269bc7f973d1e8b29b9e44d009dff0ecc66d49f278bbdcfa55d6915935cc6b

Observation 55f2cdf5-e890-4e21-bc6b-14ac32574dba · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:23.310760Z digest=sha256:064cac635682962397acb525773484d46ea23458ff8d834750bb7a253aa1e3ee

Observation a3b23f49-3da8-4173-9fa1-fe4e5894c6aa · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:23.322550Z digest=sha256:014aacf303e6726b10844be63ba8e2b2a7fc0fb87276f5f02aff80c3b575be0b

Observation bff288c3-8dd9-4cdd-a884-46bef3babba4 · outbound

This paper cites A Survey on Multi-Turn Interaction Capabilities of Large Language Models.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation A Survey on Multi-Turn Interaction Capabilities of Large Language Models

Reference 38

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:23.325662Z digest=sha256:60d82a1f3675b5b96c251728ef190c7c335b95ca06505992f2a3f91dc295c386

Observation 7da4d6c5-15f8-4e26-8e69-46c479e6fc78 · outbound

This paper cites an unresolved cited work.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:47:23.992294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T18:47:23.367773Z digest=sha256:93e88410b80f8275a10432bb45964077fc6653f25fa0d6bc69d1ecd5a8ece4f0

Pith citing papers

No inbound Pith citation observations are available.