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Paper Citation Record · LEDGER

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2505.20023.

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

pith.paper-citation-record.v1
2505.20023 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:58.046928Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:10:47.294719Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:16.281906Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1f5a3cb-f22d-44c6-96b2-3e9d125e437b · outbound

This paper cites Qwen Technical Report.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Qwen Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-07T14:06:53.542880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:53.542880Z digest=sha256:7308c13653ab617b8e41d933aeb5552e02d58c0b0d485c5eb896cf2d1772a85f

Observation 3a63268d-fe89-4237-8d65-9cffcf568265 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-07T14:06:53.607520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:53.607520Z digest=sha256:26d0cea2d4ff47559e6d274883c642e978452c8dd2532b2533cb7d6c603bdc21

Observation 24ba30b1-3a1a-4744-9b32-ffb030550847 · outbound

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

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking FireAct: Toward Language Agent Fine-tuning

Reference 3

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unresolved
no resolver link, observed 2026-08-07T14:06:53.740452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:53.740452Z digest=sha256:b9cedf13ec3e73e566fb97caadc48391a57f2b65774e1461daacb420f14f452d

Observation 0d46e696-3574-4da1-b540-ffe9b24aa833 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T14:06:58.160732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:53.802374Z digest=sha256:c45f806cf3ca612aa5998cc8e0bde1950b94cc792e437a9a7b66108ac86ca127

Observation e4d565e5-85eb-4ed4-b3d9-3d5854439c1d · outbound

This paper cites MetaReflection: Learning Instructions for Language Agents using Past Reflections.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking MetaReflection: Learning Instructions for Language Agents using Past Reflections

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:06:58.925514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:53.976310Z digest=sha256:787b23a85fcf626cd500636fdcfdab853debb975d2b00fb5a925ff6edd29fc3d

Observation 9e4bdf35-c8bd-46f1-924f-865297a22088 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:07:01.907615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:54.092619Z digest=sha256:28d189a0126f9af231fb81971d71aa055c7864afeb7f4feb0570c16bf50ae74a

Observation 2b9ead3b-4938-45cd-b365-a3052cf44fc1 · outbound

This paper cites Mistral 7B.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Mistral 7B

Reference 7

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unresolved
no resolver link, observed 2026-08-07T14:06:54.218467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:54.218467Z digest=sha256:c8029d7390809033038c2a3eb66cd81498fa38e5cf43c470c8e51dfd31fa26c1

Observation 1ab24e4c-74e9-4657-ae12-e0e1e9ed8206 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Gonzalez, Hao Zhang, and Ion Stoica

Reference 8

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unresolved
no resolver link, observed 2026-08-07T14:06:54.388547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:54.388547Z digest=sha256:098efd028edfc97b54d736c3f713b01b773ce6665b52204ee65dbc795ace1e6d

Observation 406c1c69-051f-4f4b-8125-bd141f0051fb · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:07:01.763957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:54.441432Z digest=sha256:b520fa847a3c91f1a442f07feb964c5cb1a68177101e00d3fb5ff92e1ebbcb52

Observation 757251c9-9c98-43b8-9cf1-d81d0a2691b3 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-07T14:07:01.551294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:54.489782Z digest=sha256:f38aa4b4750ef0e6457ae013fdefa1b9c0a1ed17e8b126e533707a44f104304f

Observation 4e14beec-d708-4d71-a7e0-f43a78fb9a89 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-07T14:06:54.554746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:54.554746Z digest=sha256:b1e175e4ea568b5d04791b98049b3d7cd49196af29e97d9892b887cfd6e628b1

Observation 75b55fe6-d004-4668-904a-239f9340e374 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:07:01.354584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:54.656431Z digest=sha256:17cd5ec947bc9732b45bda08e22ce41267b184e7492d5a13f8e12d43314f6bc6

Observation 6fb5fb70-ec4a-4479-a0c8-1b453ea29951 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 13

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unresolved
raw_fallback, observed 2026-08-07T14:07:01.065647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:54.714515Z digest=sha256:9ac08788705e77e1ab0ac342ca6e0b0088bf03ea2b63d8610223ee654afff545

Observation ffbdea23-f3db-4bb2-95ea-00186e66ee8a · outbound

This paper cites GPT-4 Technical Report.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking GPT-4 Technical Report

Reference 14

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unresolved
no resolver link, observed 2026-08-07T14:06:54.770766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:54.770766Z digest=sha256:68a4eb1071899e4d6bee3ce626c0f465630447dc9f466b0c554bedf9e004c35d

Observation 8bca7f86-6c69-4f16-a6a4-4421f59280f6 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-07T14:07:00.778903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:54.826679Z digest=sha256:754818ec59b19188a7c67d6858155f97d03fd31da1fad1da50d90ce7ee322701

Observation 888df397-25b2-4a4d-a86c-ac99790d5902 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Gorilla: Large Language Model Connected with Massive APIs

Reference 16

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unresolved
no resolver link, observed 2026-08-07T14:06:54.892244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:54.892244Z digest=sha256:f64a20df40eb7229d8769fe966f9a2e7d4f38d15add66f16045a9deda90b8dc2

Observation 0cbbb406-f128-42c1-96e6-43677a2d47c9 · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:54.946192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:54.946192Z digest=sha256:b0facbe750569706cef0b692674ecf596cf5fa481fd9a8e704e464525d170b24

Observation cb4b500d-1b40-4b92-abe8-e355c20f6bff · outbound

This paper cites Pomerleau.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Pomerleau

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:55.027332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:55.027332Z digest=sha256:9427a3f131bb9a6c48004b89cae2c3ce8d107b6a90cd581331d55632e1756a52

Observation 071d1a47-6753-47da-871d-9e4e3d31fdfe · outbound

This paper cites Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution

Reference 19

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unresolved
no resolver link, observed 2026-08-07T14:06:55.122909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:55.122909Z digest=sha256:a79f97a26e3a5b95b4b0ba24fb38a7182fde2426f834be9718ac7782fff5a949

Observation 7e3097b8-42e0-4449-afa7-5b8a10a5948a · outbound

This paper cites Agent Planning with World Knowledge Model.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Agent Planning with World Knowledge Model

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:06:58.636606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:55.286037Z digest=sha256:02622ae87c687fe3a5095e79168020c9b14e8beb95d7579338c8cc78fcee35aa

Observation 72568008-c0ef-4cea-89f8-09089843e5b9 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 21

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unresolved
raw_fallback, observed 2026-08-07T14:07:00.508858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:55.459964Z digest=sha256:e925c725049c47a592f5f46f10f449094adde552f7fdea8fbb620cd412c4346f

Observation 48cd31e4-9195-4630-ad83-6bcd65afde44 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-07T14:06:55.635862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:55.635862Z digest=sha256:186f2e8a7faaa08bb6f89910a9fc849ea9e20a83f5bcda68a5864fb7e92b84e2

Observation b11fc6e9-91c9-4190-8d61-1783208b8330 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 23

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unresolved
no resolver link, observed 2026-08-07T14:06:55.754994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:55.754994Z digest=sha256:b66821ba27604ae7e00e997865e6f3defabad58bb9f2c90d46e31569fc5a607f

Observation 9aee5b8c-0670-4752-8204-ac0065f682ea · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:07:00.132607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:55.881097Z digest=sha256:baadd1e3eb15e78d69a5aa94428253572e7299f5aee74c8d591d247462fcf527

Observation 99913d9f-e9dc-4951-824b-dcc62d59a377 · outbound

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

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:56.016515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:56.016515Z digest=sha256:e211da9e456acdce2b8d35c6b67a4613016f9e38255d82df46c1cc3e040306a8

Observation 4221ee65-8241-4637-aca8-a09a0be48bff · outbound

This paper cites Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents

Reference 26

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unresolved
no resolver link, observed 2026-08-07T14:06:56.135534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:56.135534Z digest=sha256:fe12d69634d407dc1675a998db23a8c5e057eb6c34eab0706c02d13de7ef7424

Observation d7d1b60b-1ed6-413d-9c94-9611c613c178 · outbound

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

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

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unresolved
no resolver link, observed 2026-08-07T14:06:56.286740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:56.286740Z digest=sha256:e4c3644c25dce17b2e0dbbb7f607d29dff03a73bb47d418b1319d69c32ea94a2

Observation d25f5d6d-e68c-42c1-8267-708035f0f542 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 28

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unresolved
no resolver link, observed 2026-08-07T14:06:56.421739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:56.421739Z digest=sha256:d10821360565c8cdd6765feb0e7acf1fbbf619221f89db9372a0ef314d5f72b3

Observation 6019eb82-e0fa-4fa5-b0a3-d7dce12e2c28 · outbound

This paper cites Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents

Reference 29

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unresolved
no resolver link, observed 2026-08-07T14:06:56.596041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:56.596041Z digest=sha256:7061be6c89dc70f320d48f7e342bc50a0cf2108f895caf1097819f275a0da80b

Observation f965e53c-b660-42e4-b5e4-f2361f908ad4 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 30

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unresolved
no resolver link, observed 2026-08-07T14:06:56.750118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:56.750118Z digest=sha256:137e0f65999a4d26f1e0daa56bc28ae2a9ed023acbf2ec8b2e8a28ed98451745

Observation 5b8306be-aec0-40e0-9765-ce942e2a0e84 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 31

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unresolved
no resolver link, observed 2026-08-07T14:06:56.919405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:56.919405Z digest=sha256:b23846ecbffeb8ed3679ddb0a48a1d2fdc1bc8e9481b68f6e77c07a8830fbd04

Observation af1016af-ef86-445a-bf1e-29a5cdf44b79 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 32

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unresolved
no resolver link, observed 2026-08-07T14:06:57.038198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.038198Z digest=sha256:30b16840a8dfcdf69507d20627d5cbe8f89726daf5c3f638079d860bd7d6d1f4

Observation 316f7091-e032-42dd-ac81-1b3f3a273f74 · outbound

This paper cites AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Reference 33

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unresolved
no resolver link, observed 2026-08-07T14:06:57.158038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.158038Z digest=sha256:51bc43ccf1ef87d915a20bfd5d3855f825389920dc64cd0f0223cfa55be38fd2

Observation 50aa65a6-12fc-4ecb-8cbe-07274b962c33 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:06:59.870258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:57.320294Z digest=sha256:d716bba6491c52998d154d3eb4228ed6a3e1d0f38a16e518797305f4a20cbc96

Observation e4804db6-1420-4297-ba88-d5c0bbe94f67 · outbound

This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reference 35

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unresolved
no resolver link, observed 2026-08-07T14:06:57.471803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.471803Z digest=sha256:a5773fdd9efd9af287569bbed351d98e7774c29b5fe6886a8c58ea54a6bbd94a

Observation e16cab6c-a3bc-44bb-93cf-586a0c28715c · outbound

This paper cites Qwen2 Technical Report.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Qwen2 Technical Report

Reference 36

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no resolver link, observed 2026-08-07T14:06:57.530924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.530924Z digest=sha256:61e330e91021aaae47d4d699cb9b666b15bee842b115d52b02836bf1dd8f9e0d

Observation 966c5ecc-d933-41b1-999b-3e067d337112 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 37

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unresolved
no resolver link, observed 2026-08-07T14:06:57.590394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.590394Z digest=sha256:2033fc35db0fbdb9b0013a3d01006dbbe678284dc9b53b9c8d579f30b4866449

Observation ba55c0e8-4961-4680-88ee-a3e22e31fa6a · outbound

This paper cites Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning

Reference 38

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unresolved
no resolver link, observed 2026-08-07T14:06:57.661196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.661196Z digest=sha256:e086e33835d5708e96692d5b7263ea3b3d897e1e4cbf3dc777bfe0b6d955cce8

Observation d62cf0bb-1259-4ed8-af62-35d741551974 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:06:59.604142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:57.720904Z digest=sha256:815d3f093ed1d45184e3d7c15991b89633da6295f4505a7530494fa244ce4ce2

Observation 63b0c490-9dc0-4b77-a5c9-20889cc92b9b · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:57.779121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.779121Z digest=sha256:27d8bbb354c23b2f7c8fb14f6d87b658f2a294f144a8478da7d5901450269267

Observation e44a72af-f104-4f0f-a89c-dfc6a7bbe1c1 · outbound

This paper cites an unresolved cited work.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:06:59.239857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:06:57.820652Z digest=sha256:15ed4e72305a70eefe13982cc0f13e3f9dae65dce2a8f627b78fde6a5b343743

Observation 67a2f167-7450-4a5a-939f-e8152a9ae841 · outbound

This paper cites AgentTuning: Enabling Generalized Agent Abilities for LLMs.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:57.880383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.880383Z digest=sha256:4bbb9d84cad1c2ac4f5bf13dc33477df2cc36c8d377fa0744250750085437e72

Observation 1193f9fa-6d20-415a-bacb-91bb704bc34e · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:57.940517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.940517Z digest=sha256:fdd56c40c3c37ff042b4a333ea77d687ca236f9024c1f282ec719e9c9d4541de

Observation 786968d7-ee0e-41a0-b961-3baffbd09026 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Instruction-Following Evaluation for Large Language Models

Reference 44

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unresolved
no resolver link, observed 2026-08-07T14:06:58.021707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:58.021707Z digest=sha256:6108cff3efa46e73ec187d019d749a7f6bcca11fbbe4d833713c460b9f23563a

Observation cccce28e-0198-4534-adfd-be9b68124ba1 · outbound

This paper cites online" 'onlinestring :=.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking online" 'onlinestring :=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:58.041400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:58.041400Z digest=sha256:1e33529f45abb46fcd3a3bef5a478abcc6f53674f59921f65625211047fdb0d7

Observation 837078af-2b8c-4047-852c-ae4a1caf4a3f · outbound

This paper cites write newline.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking write newline

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:58.046928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:58.046928Z digest=sha256:4c9bcbdc404885aeb47d8a1e95ab20be0a9ecf657f6c14cb4395fe9280e1e4c2

Pith citing papers

Observation 7bb4b43e-7867-4e7c-a441-d1d3a44ea4b7 · inbound

Step Rejection Fine-Tuning: A Practical Distillation Recipe cites this paper.

Step Rejection Fine-Tuning: A Practical Distillation Recipe Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:06:35.477603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T03:44:33.525966Z digest=sha256:f3c0b35287a6a0a12ff4e9bcb55f6b493b79ce9723a5aa1a941565c122942b57

Observation 79797b27-9d58-4d06-9879-8161996593c9 · inbound

Skill-Guided Continuation Distillation for GUI Agents cites this paper.

Skill-Guided Continuation Distillation for GUI Agents Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:29:16.284966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T21:10:47.294719Z digest=sha256:c7926056523a83b65ace2d30886705516888d300e64a705964ab9b166efff7a8