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Paper Citation Record · LEDGER

SAND: Boosting LLM Agents with Self-Taught Action Deliberation

As of 10 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 2026-08-10T06:31:04.303077+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:19.026216Z digest=sha256:1f38e29fbca583af60e442119da144ca37b762d76a7a59e905e596facf8fcc2a

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=sha256:252ab28d9f4e4e0ad3a878c25e21fb3194f7d886d38f496a7814f8852b6a70cd

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:e685a59b30bd14c6c3b6c523b14cdbd73e773489c988ba53304f8c5c57e73604

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=sha256:0eb2c1fa8d34283c06791249a99a6d13e2ea0b36daa854c50d8d7b3404efabbd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:19.555232Z digest=sha256:fcbfa95610823b34d2085f33211ad9d03ee003931db84f5278dee5f3a894cecc

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:aa744587ab4d7c07e6ce78a5af8ea2871b42498a0380ca9646ca34b9bc43d4a9

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=sha256:5f691fc4fa7ca76d65f345fe85f68c7d2cfb611d7c90dd69ee3e56b839e8aae8

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:19.985383Z digest=sha256:886e02b51baf300166b6699b9536707cd5521fbf438351f180db7d06825b8c50

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:c09fc5d06946edd03f98b543d5d669b850daaadd065346f54757a329a32129d3

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:fd802190fe61fc07477bae6d45376a6dfb719d9479ad932d8b7f8047d09078b6

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:c7078b00262df4d064268956b36ddbc2dc41e064439b1abc3d70f0a94ef4b060

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:e32d62fffebe95d58f27735241aaee1a0b0465cedb3aa1ad92d53cebbe67d7fc

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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no resolver link, observed 2026-08-06T18:47:20.615254Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:20.615254Z digest=sha256:7f13f969770ea956a1ef9c2155f25fb40804a7b3bd1e31ba599e146b750914c2

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:fdc0e67c55ca820177b059fc3d2aa5e14d9c14156949bc8b3bdf20201a1bb93e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:20.801364Z digest=sha256:82b69c0da9f7e9bc3501864e396db1b6dd8a7f85d2012f8c8616f3aff913bf7e

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
doi, observed 2026-08-06T18:47:23.561522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:20.899057Z digest=sha256:d655d433733472f154355f0a34c6f15da7d4ff497256578889e79f2df7fb2f9f

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=sha256:025b6469d28e37cb2733c8a53da98b27f6cd7a780dd1849725088fde69dc89c8

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:d4eb4ffed669637933539d944046ba964f795c1ac4afb9de07f4f8aa73b68f5f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:21.253533Z digest=sha256:52a77319816c68e01338f1356f0de700a38a4f6f45c88fb9245087f1a032ca5f

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:a2eff0bd2308a949d4262cb9edc09678cc9cf846cf884ab4fa4adffc35ffd1bd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:21.561733Z digest=sha256:3230a50920680f5435b7861f394f5e66f02601c93e82a545c8f38eaeb40e1fae

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=sha256:9f7af965588c702276432a424d3df98e04809e220407097005a8f4c5e89729f4

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=sha256:25bf2f309b42e16b2b4d39dc2df654a1ee343ced98671d34973834109db99a78

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:a3efe5131cd9eb667489317fa3a604433458d187f011349ba73843d94b72c514

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=sha256:38f099daecbe4caa83343469d0df02745ea481e535a23dd393793d829a506412

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=sha256:6c8e070510c96f2325bfb92339617732ace0234444c0a7599516d6542a5cf779

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=sha256:883a278c637f9d3e208376914b89cfdae6305039cb52f014e982956738fb2c3f

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:f7c3deb3dc837c4d9881cb53821cac56bec3140dea4e0edcaa33e369bd10c8ac

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=sha256:0e6535ddc3de8d3cb8fe0db690791d6904244a6adeb977aa5d2b2792eb3b3d2e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:22.629414Z digest=sha256:550b96db2d9e4d9ccfeb3c98a13bc240cfda8fba1eba9948b81ed31da6d73f0a

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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source=arxiv_source observed=2026-08-06T18:47:22.792944Z digest=sha256:e13d3914d1e0bff3b2e88b9392132b7c821b3f9dc58255f4324fce6e0820b844

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:22.943545Z digest=sha256:2b382a044c78d338dc3a979ae4bd5c6a941f7de65aaeb60349d7dd5ba5f95376

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:23.023790Z digest=sha256:67456a66a8f1c29b8b28d207224cb93cafee0436f689102b6e96079e6d748634

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:23.075419Z digest=sha256:eb52aa7935d1772e60c2273355251bd9acb6bfed627ec66dc5ece11723688537

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:23.191916Z digest=sha256:1051b1804cab19f7d9faeac22e530f1f7c78750242caf35d8e7ef4bdf16bdb9f

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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no resolver link, observed 2026-08-06T18:47:23.310760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:23.310760Z digest=sha256:42da2496dbafc2ccd4b597c0b788b3c4ce63b8010b27351295440020cd839598

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:23.322550Z digest=sha256:502b94694536fa1be0f5b5bf3cc47dde69145f2578aeca548ea02c4a08ee02ae

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:d9764f0dd509657ea8f825946c701bcb9dd9890be0e862568f8f40fa4dc8cf23

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:47:23.367773Z digest=sha256:19bcde9d9c0bf4108038f1f9764dee09edf329e67f345fd0320348bb153e39e7

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