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Paper Citation Record · LEDGER

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2505.20732.

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

pith.paper-citation-record.v1
2505.20732 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:07:41.709278Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3457b9dc-10c2-4919-a7e1-b14f2383e45d · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 170

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verified exact
arxiv_id, observed 2026-05-22T21:42:10.644431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:f0f7616a300963afde18bc61a2047243a71179cb2b312ba843e23eace07ca4d1

Observation f0b54aee-9a64-4042-8e4e-87c7a403a11f · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 239

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metadata mismatch
arxiv_id, observed 2026-05-14T22:23:15.235989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:50ea0df26fca2839c5af069c639a2d816082aa605f26f94210db6feb92862151

Observation 27fec0da-b0ed-4402-8749-072a4a15b231 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 128

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arxiv_id, observed 2026-05-18T19:21:48.155281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:9f1824d88d8bbecc22e1e8ee9bfd4eaf3701331485da7c2d232de38ce782273b

Observation 304bfd78-5a1d-49be-85a6-c7d1143f7396 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 172

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:41.709278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:41.709278Z digest=sha256:17905b70d358b7c1c699ce6b8e87885e6d2d8d9dcdd5c4d8f7370566b5b59f74

Observation e81255b8-ca8b-4fa4-a25f-17e737f2a235 · inbound

MASPRM: Multi-Agent System Process Reward Model cites this paper.

MASPRM: Multi-Agent System Process Reward Model SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 20

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unresolved
no resolver link, observed 2026-08-04T07:56:47.157332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:47.157332Z digest=sha256:91442fbb0241e1326493d26a327593f3bf34bcd4450b4fa06d874342d734d330

Observation de32141f-abe3-4509-93cc-45d894a952b1 · inbound

Data-Driven Boundary Control of Distributed Port-Hamiltonian Systems cites this paper.

Data-Driven Boundary Control of Distributed Port-Hamiltonian Systems SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-13T10:21:59.840828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T10:21:59.840828Z digest=sha256:2d6e9cbe4372018551c9ec15ec3043c35bea550183fac8a2a23c4dca888f4d97

Observation 22f2de34-a371-4ce2-b11a-eef553f488d6 · inbound

AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning cites this paper.

AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:26:18.975571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-09T19:56:27.170349Z digest=sha256:a33ef003d1ade4723a429ff6b0355b8673c4f594701244e7ac2b65ae2ef69e3f

Observation 9666a72f-dfef-43e1-bd3e-ee0228a6f0c9 · inbound

AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning cites this paper.

AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 56

Resolution
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arxiv_id, observed 2026-05-11T04:55:59.092413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-11T00:58:25.685484Z digest=sha256:3af8ea7ad13d721e8212640293da5d8db1ab0c4261642daa8bc3e398c8ff0f59

Observation 50229213-8e0e-4377-b128-5992bc15bec6 · inbound

On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length cites this paper.

On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 43

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arxiv_id, observed 2026-05-09T06:40:40.871952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T18:13:25.735085Z digest=sha256:214e00f4a13232ef63b6886adb3d8ff25218015f9745ae9677279eb6c0c108e7

Observation 382e89b3-92ad-4b34-bb7b-3d76051a0f45 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 85

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arxiv_id, observed 2026-05-11T20:06:08.576391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T10:23:52.522238Z digest=sha256:98f474a1a4be6ff1371548c1fc163c4f6f6c1cc5abdec77cd03026ec2053e776

Observation d52c3d8e-7bd5-4694-94fe-a29cfe5534c4 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:05:55.449951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-11T02:00:00.663355Z digest=sha256:815d2d79c2203a3e580d47f991f0691af4ec70215c0942dc98f0829b7a1eef67

Observation 2c3b6a66-ac9c-40cf-821e-dc58d0261018 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 85

Resolution
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arxiv_id, observed 2026-05-13T07:17:28.354727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T07:17:13.708752Z digest=sha256:dd276bd68a4374942f35cb8e54a2979f28914497e6c9343467333621e4345577

Observation 2934e963-22e7-4960-a723-0874c1b24a90 · inbound

The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment cites this paper.

The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 44

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verified exact
arxiv_id, observed 2026-05-11T01:55:51.077592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-11T01:54:49.131461Z digest=sha256:174a7ae889f128ae1cfaf4d3b6582c317d770f999ab0f25659714e5b499f92b7

Observation f1433239-4e12-45fa-82cb-2a0b6dc58a1b · inbound

Learning CLI Agents with Structured Action Credit under Selective Observation cites this paper.

Learning CLI Agents with Structured Action Credit under Selective Observation SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 53

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verified exact
arxiv_id, observed 2026-05-11T03:00:56.404376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T02:59:26.100818Z digest=sha256:7b95cc6b7a6da0ee1f4d58770416455854c2f73c29e871e66542003914220ea7

Observation ecac87d8-5a88-43b1-9ccb-d7f7f7d9cb13 · inbound

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents cites this paper.

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 24

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verified exact
arxiv_id, observed 2026-05-12T06:11:26.217109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:30:06.869916Z digest=sha256:eb4e98c8f1e9d798bf61b6b6b5d49977d26971ef64eee85397867cd3e5ccc8a9

Observation 3855bf6f-9883-4cc3-a03b-cf51c2395fa6 · inbound

PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization cites this paper.

PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 18

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verified exact
arxiv_id, observed 2026-05-20T10:43:12.466063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T10:41:25.205368Z digest=sha256:71175640642621f83e5fd3ce9d47de695f403f4fb8d1134903b993ca04d17cb3

Observation 5acadc1f-90eb-4d04-9270-06b3eefa2206 · inbound

PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization cites this paper.

PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T02:23:31.245503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:23:31.245503Z digest=sha256:0bc62d2dedcdf122b3129615c9cc90f90eb657bb9494b6318f0befa9edcb6ed0

Observation a23f6867-d8b8-48f4-8732-18d302cf835e · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 127

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metadata mismatch
arxiv_id, observed 2026-07-01T20:46:14.319626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:3b744181d9a8d4df5e701481bc1c4ef71c386c8f49d80234b8027d1e41ee1190

Observation c73e13c1-8c37-46c2-acd5-04a4f3a70e37 · inbound

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents cites this paper.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 40

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metadata mismatch
arxiv_id, observed 2026-07-01T23:16:24.853779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:c5b21cb39092c0c5adeb05db16b676dd3ce86d737c806bea67754d40d8111066

Observation b9f02781-c1f8-4734-b987-c1863f1b9afa · inbound

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses cites this paper.

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 109

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verified exact
arxiv_id, observed 2026-07-01T23:26:22.069256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:25:08.052988Z digest=sha256:3b980567f183ff9d0125816ccfe479dca8fb5412097d859717b152694d18cc59

Observation c8a41327-e0fb-49c0-96b9-f28ddc71507e · inbound

HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning cites this paper.

HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 31

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verified exact
arxiv_id, observed 2026-07-03T05:47:41.649865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T13:04:28.758614Z digest=sha256:371475406ab43f57bf143419b6b621a5d77e89de7f2763d9af731f11850c02a8

Observation c18f4942-7020-4032-9661-2d3c217938cd · inbound

SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents cites this paper.

SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 60

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metadata mismatch
arxiv_id, observed 2026-07-03T14:58:33.194023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T06:49:12.070481Z digest=sha256:9c21e59bbd53a6e20b4288c7966f296544cdcb98cdd97356b60540de14a77bce

Observation c8f816ba-2c2f-4e0f-921f-f10b18a962b6 · inbound

StepGuard: Guarding Web Navigation via Single-Step Calibration cites this paper.

StepGuard: Guarding Web Navigation via Single-Step Calibration SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 53

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verified exact
arxiv_id, observed 2026-06-27T01:40:21.157758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T01:34:10.325378Z digest=sha256:c4d9cdb14449f625d149026094b4175923344b165359762ea74c4390c162f4af

Observation 570946be-579d-46af-94b6-074622e7402d · inbound

Learning with a Single Rollout via Monte Carlo Pass@k Critic cites this paper.

Learning with a Single Rollout via Monte Carlo Pass@k Critic SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 38

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arxiv_id, observed 2026-07-04T20:00:08.366859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-25T20:53:10.016447Z digest=sha256:1a2a3bd47f9dc10ddf6fd97b228f957cb929ff6b43ac5596ae2ea924ed854de8

Observation 113cc57d-5f88-4b68-af43-ac634976f5e7 · inbound

Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents cites this paper.

Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 32

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verified exact
arxiv_id, observed 2026-07-04T20:20:07.672378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-25T20:16:39.347676Z digest=sha256:72df77846ed12357132b5891cd618c2dabfc5d791e6cfa0bd7983f4e9b4f9f58

Observation 4c434fbc-c40c-4bbe-92b9-e9566d9fb4e0 · inbound

RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents cites this paper.

RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 11

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unresolved
no resolver link, observed 2026-07-11T14:43:39.668059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T14:43:39.668059Z digest=sha256:99a0ff8c20817d211162b449ad586eac9147c8ee44dc1d550ca724f6dfa7c48e

Observation af49ee17-bcf4-4c1f-b102-7978cdce4208 · inbound

What Resolve Rate Hides: Trajectory Structure Diagnostics for Coding Agents cites this paper.

What Resolve Rate Hides: Trajectory Structure Diagnostics for Coding Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 51

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malformed identifier
local_arxiv, observed 2026-07-08T14:25:02.465192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-08T14:16:25.641101Z digest=sha256:74861f9c5dbab6522753bdef4d2fb237b7f756210155f197eb2c358787a8648b

Observation 8148a7e5-e65c-4119-b98f-7bc318c68640 · inbound

RLVP: Penalize the Path, Reward the Outcome cites this paper.

RLVP: Penalize the Path, Reward the Outcome SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 21

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verified exact
local_arxiv, observed 2026-07-09T11:16:11.361536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T11:15:06.569421Z digest=sha256:18144d8087f5d70b84cc50acf004f4202382911249aa4909c0a875538860883d

Observation 74c730fc-3178-4f5e-97f1-0176e0f8fc29 · inbound

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents cites this paper.

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 2022

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unresolved
no resolver link, observed 2026-08-02T03:10:51.611387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:10:51.611387Z digest=sha256:d1ad25b94588cca7d83578407319dc8458865f45150362edae6a7b4b90eb042a

Observation 9ff0fa1f-36fc-4df7-9af0-d5877a854285 · inbound

Process Reward Informed Tree Rollout for Effective Multi-Turn RL cites this paper.

Process Reward Informed Tree Rollout for Effective Multi-Turn RL SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 52

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unresolved
no resolver link, observed 2026-08-01T22:51:02.115809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:51:02.115809Z digest=sha256:e25e633c8c996c67f3b5355885b00a455db4c1d0730459feb88cda4c2d0aab47

Observation 69741546-e41a-4506-a1df-59b33b37d407 · inbound

Progress-conditioned Group Policy Optimization for Long-Horizon Agentic Tasks cites this paper.

Progress-conditioned Group Policy Optimization for Long-Horizon Agentic Tasks SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 32

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unresolved
no resolver link, observed 2026-08-01T11:54:59.427547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:54:59.427547Z digest=sha256:2b41ae8774b77a95259196ac61d5fe5463601ee5053a2167c42b8d891c07468e

Observation 53dc83e9-f27f-480a-9822-b56bb3da7a01 · inbound

CAST: Game Solvers as Turn-Level Teachers for LLM Agents cites this paper.

CAST: Game Solvers as Turn-Level Teachers for LLM Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 20

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unresolved
no resolver link, observed 2026-08-01T02:58:29.306083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:58:29.306083Z digest=sha256:57a0fe91b38f113dbb92838fe2d27e115d53d4dc41ed03d2972f946e25a62918