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Paper Citation Record · LEDGER

Estimating the Empowerment of Language Model Agents

As of 11 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.22504.

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

pith.paper-citation-record.v1
2509.22504 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:53:19.811483Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e19b7ee-f0a9-4768-8598-8dbea015026b · outbound

This paper cites write newline.

Estimating the Empowerment of Language Model Agents write newline

Reference 1

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source=arxiv_source observed=2026-08-04T14:53:14.268804Z digest=sha256:24cfef30b958823566d5b126adaa1930cd4f8ac070a4a9e4c5eb07ba9bd5e491

Observation d07bbac8-99c6-4cd2-87a9-aa1e02e77d71 · outbound

This paper cites Llama 3 models.

Estimating the Empowerment of Language Model Agents Llama 3 models

Reference 2

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source=arxiv_source observed=2026-08-04T14:53:14.390158Z digest=sha256:0e94c6c28cffd1e322309e5e10837a039cfbd64c6ba171ece0bd8c668c0efc28

Observation af7de01d-ebad-4268-b54c-87434c6f3bcd · outbound

This paper cites ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

Estimating the Empowerment of Language Model Agents ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Reference 3

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source=arxiv_source observed=2026-08-04T14:53:14.599607Z digest=sha256:d0449e9445d36b28b9d1f4c8391c49ebbae45400fcfe122ab0e748fdb81e8677

Observation 3d751a8e-f0a8-45e3-9085-a24626676f65 · outbound

This paper cites SWE-Bench+: Enhanced Coding Benchmark for LLMs.

Estimating the Empowerment of Language Model Agents SWE-Bench+: Enhanced Coding Benchmark for LLMs

Reference 4

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source=arxiv_source observed=2026-08-04T14:53:14.713072Z digest=sha256:075fd452dc0d260d7c11f62b6a4527ed3dd9e32ed382d2020a6f37e47dda70b7

Observation c6f75b12-9575-46ab-9693-e657c37e0db6 · outbound

This paper cites Balrog: Benchmarking agentic llm and vlm reasoning on games.

Estimating the Empowerment of Language Model Agents Balrog: Benchmarking agentic llm and vlm reasoning on games

Reference 5

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source=arxiv_source observed=2026-08-04T14:53:14.874428Z digest=sha256:14153b43824b9e6e0bb4ec4be3ac1dab7306c644a7146759d37b6656585a828a

Observation 275c63d0-dbad-41d5-abc0-e5fedade3f16 · outbound

This paper cites Claude 3 (haiku, sonnet).

Estimating the Empowerment of Language Model Agents Claude 3 (haiku, sonnet)

Reference 6

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source=arxiv_source observed=2026-08-04T14:53:14.986725Z digest=sha256:d951ed043b0517e130f877e82a5d8e66dccd094a3fa8726d54cb22391114fc15

Observation 84cf6792-beda-4879-bd77-1847eaeb62cd · outbound

This paper cites An algorithm for computing the capacity of arbitrary discrete memoryless channels.

Estimating the Empowerment of Language Model Agents An algorithm for computing the capacity of arbitrary discrete memoryless channels

Reference 7

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source=arxiv_source observed=2026-08-04T14:53:15.158449Z digest=sha256:906100a15978056c194e2bc252708dc7e5edeee42b7f79e8aca2dc24e8b7ef2e

Observation 4498c206-db3d-402c-bb85-f37e7924d682 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

Estimating the Empowerment of Language Model Agents wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 8

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source=arxiv_source observed=2026-08-04T14:53:15.296077Z digest=sha256:ef509bca96cdf369235bc183e1d6b64fdc1c2150f10b1d295ee86b8d248bc7a8

Observation bf1ed57a-3748-4b34-be46-ef211e5b978c · outbound

This paper cites Information prioritization through empowerment in visual model-based rl.

Estimating the Empowerment of Language Model Agents Information prioritization through empowerment in visual model-based rl

Reference 9

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source=arxiv_source observed=2026-08-04T14:53:15.391671Z digest=sha256:38bca7a154e3e4ba1483950480195e1d7acf6a453956e2a8622bc10583eaf19d

Observation 211ac82b-c7e0-46c2-9762-70fa4031e5bf · outbound

This paper cites Llms struggle with perception, not reasoning (arc-agi).

Estimating the Empowerment of Language Model Agents Llms struggle with perception, not reasoning (arc-agi)

Reference 10

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source=arxiv_source observed=2026-08-04T14:53:15.516446Z digest=sha256:9d415f4fb015ecd64a621be41aaef50adc7e1b92f0b2e446027b8d3b57ce3a57

Observation 18cebc6b-e100-4c78-88b5-5bd08a9a839c · outbound

This paper cites Qwen 2.5 models.

Estimating the Empowerment of Language Model Agents Qwen 2.5 models

Reference 11

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source=arxiv_source observed=2026-08-04T14:53:15.697167Z digest=sha256:49ba418a2f5abf0f221b0dd0d92c98c932dad42cb5e7340b153f92cc3628ff06

Observation 5475d1a3-a0e4-403c-ab1f-a9eee68f417c · outbound

This paper cites Gemma models.

Estimating the Empowerment of Language Model Agents Gemma models

Reference 12

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source=arxiv_source observed=2026-08-04T14:53:15.779923Z digest=sha256:3e3c81967e309b74398a61b5c8d62b2fba45dca39ba65c490135c6a620154780

Observation ee215531-1fe6-4abc-9289-60939ee6267a · outbound

This paper cites an unresolved cited work.

Estimating the Empowerment of Language Model Agents Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-04T14:53:15.848689Z digest=sha256:508d8cc54f34d6fb89b896fe8cc58cd9659662d87c99e150a2eaff3080fc6d7c

Observation a03709b1-cb85-43c4-bd6a-42b47f5c06a6 · outbound

This paper cites Revisit the Arimoto-Blahut algorithm: New Analysis with Approximation.

Estimating the Empowerment of Language Model Agents Revisit the Arimoto-Blahut algorithm: New Analysis with Approximation

Reference 14

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source=arxiv_source observed=2026-08-04T14:53:15.932661Z digest=sha256:46706e6b5cc226069aa0cc4d47ed21f08c52af54d06b719e9a7f134ed4e87cdc

Observation ce16f66d-44b9-4f42-a6bc-bb7cd116249e · outbound

This paper cites Jina embeddings 2: 8192-token general-purpose text embeddings for long documents, 2023.

Estimating the Empowerment of Language Model Agents Jina embeddings 2: 8192-token general-purpose text embeddings for long documents, 2023

Reference 15

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source=arxiv_source observed=2026-08-04T14:53:16.018031Z digest=sha256:8d02729236252cafd87c49bb9407c3e6d1f080bed7f1664e6f7eb2742d35dde4

Observation ef472ddc-2f10-4cd9-9c4d-94ddc93b4d49 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Estimating the Empowerment of Language Model Agents SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 16

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source=arxiv_source observed=2026-08-04T14:53:16.093612Z digest=sha256:fde5b6b18c3c850488935b7f2099bbbf4c0efc1125c082625f634b9838f316f0

Observation 3d501c49-8f62-4c61-a6a8-36e3ebadbf55 · outbound

This paper cites Empowerment for continuous agent--environment systems.

Estimating the Empowerment of Language Model Agents Empowerment for continuous agent--environment systems

Reference 17

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source=arxiv_source observed=2026-08-04T14:53:16.232209Z digest=sha256:90a5066771a5bc28daceaccdb27997d0bfdd17bb29f68dbcd491c5e2be4c8379

Observation a5bf51de-9d76-4085-bd29-747190314b87 · outbound

This paper cites Empowerment: A universal agent-centric measure of control.

Estimating the Empowerment of Language Model Agents Empowerment: A universal agent-centric measure of control

Reference 18

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source=arxiv_source observed=2026-08-04T14:53:16.411532Z digest=sha256:d9799388a683dc5142b5f5b4271c9c2fd53e15aa3e9a8b745146d161f260865c

Observation d810cd2e-b55a-40fa-ae6e-819fec9d317d · outbound

This paper cites Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues.

Estimating the Empowerment of Language Model Agents Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues

Reference 19

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source=arxiv_source observed=2026-08-04T14:53:16.593600Z digest=sha256:bb186207d6438c2a44229ee9163ee1cb2a995bda2873d8f99f4f5ff6e109bc7c

Observation 26d93b94-4743-427d-92ad-959928efe1e0 · outbound

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

Estimating the Empowerment of Language Model Agents Gonzalez, Hao Zhang, and Ion Stoica

Reference 20

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source=arxiv_source observed=2026-08-04T14:53:16.690300Z digest=sha256:faa3ad3b1f22a8246a7b961ef911e9dc6a9496ea69e960b7e2fea81d9a60ef4a

Observation 3cb8e7dd-9494-4154-a87a-198029914292 · outbound

This paper cites Le-Khac, Graham Healy, and Alan F.

Estimating the Empowerment of Language Model Agents Le-Khac, Graham Healy, and Alan F

Reference 21

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source=arxiv_source observed=2026-08-04T14:53:16.795344Z digest=sha256:458327adc649bd8b3cc110e9f6371f356f3a35f9920aab12f62c0324d4895f3c

Observation 629f2450-74a5-4dcf-b49a-65904bb04f9f · outbound

This paper cites STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making.

Estimating the Empowerment of Language Model Agents STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making

Reference 22

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source=arxiv_source observed=2026-08-04T14:53:16.868191Z digest=sha256:fd368e836d87fc097d9387fdc1779f598f3319e11719b8bd9775d831131e821e

Observation 51e388bf-3621-4467-b3d9-70da87fa89b4 · outbound

This paper cites ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.

Estimating the Empowerment of Language Model Agents ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 23

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source=arxiv_source observed=2026-08-04T14:53:16.962827Z digest=sha256:990117d7e0a8281e1efd65cef69c7b5b2d2f8c1fe2752412ee3b29e580aafd17

Observation 564b90a6-2952-4def-9ddf-883dc07b490e · outbound

This paper cites VILA: On Pre-training for Visual Language Models.

Estimating the Empowerment of Language Model Agents VILA: On Pre-training for Visual Language Models

Reference 24

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source=arxiv_source observed=2026-08-04T14:53:17.092139Z digest=sha256:e937a06a55ed8861c25ad81e6c63b8d47a0e05c22588280b78d1455e6da1702d

Observation 48a9c538-4d60-4b1d-bdbf-5ff31c71898f · outbound

This paper cites Variational information maximisation for intrinsically motivated reinforcement learning.

Estimating the Empowerment of Language Model Agents Variational information maximisation for intrinsically motivated reinforcement learning

Reference 25

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source=arxiv_source observed=2026-08-04T14:53:17.162094Z digest=sha256:7417b07d9eaeacd5651eda84d427a3bcc9f2804fc95cf1d32bc7c0b80d268400

Observation 6a825769-86b5-4e94-adf8-522d6baf05b2 · outbound

This paper cites Learning to Assist Humans without Inferring Rewards.

Estimating the Empowerment of Language Model Agents Learning to Assist Humans without Inferring Rewards

Reference 26

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source=arxiv_source observed=2026-08-04T14:53:17.211444Z digest=sha256:73659a5dd8088f8cc9d95268d0687b6a66b4aad8904d96b34f86c1ae9fc2ce56

Observation 19671257-155b-4f78-9654-02311ae94094 · outbound

This paper cites Gpt-3.5 turbo.

Estimating the Empowerment of Language Model Agents Gpt-3.5 turbo

Reference 27

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source=arxiv_source observed=2026-08-04T14:53:17.296801Z digest=sha256:a6c919df66e9434e036b777b96629b04f89676016fa66f22d8738191879f5678

Observation 7ef2155e-595f-429a-97bf-a21b5bd08cc5 · outbound

This paper cites an unresolved cited work.

Estimating the Empowerment of Language Model Agents Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-04T14:53:17.416866Z digest=sha256:4fb87e1a972bd9777c7151cb57ae04dab5276ed0d90f3efff7ab45d439d4e0c9

Observation 65886f1a-573b-418e-856a-3ac73ab602c8 · outbound

This paper cites an unresolved cited work.

Estimating the Empowerment of Language Model Agents Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-04T14:53:17.500154Z digest=sha256:de80682ba802c7636d4b48c5df2a078e73f721705f4202988bd13175e85ba366

Observation 6af0d99b-d29d-47d0-8075-400087e407b5 · outbound

This paper cites Autonomous Evaluation and Refinement of Digital Agents.

Estimating the Empowerment of Language Model Agents Autonomous Evaluation and Refinement of Digital Agents

Reference 30

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source=arxiv_source observed=2026-08-04T14:53:17.604910Z digest=sha256:349a71955eb61fde1a8564676775b0cfa4089dafb75714f03677bc9b4588b0af

Observation 93071eb1-00da-4785-8cae-d7d45886470a · outbound

This paper cites Evaluating Frontier Models for Dangerous Capabilities.

Estimating the Empowerment of Language Model Agents Evaluating Frontier Models for Dangerous Capabilities

Reference 31

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source=arxiv_source observed=2026-08-04T14:53:17.688392Z digest=sha256:0c0c3bfbc98d6535da7db88fb5e06a756d3d7ae51813f9974f61619d339fa599

Observation 9c6b891a-6c37-4b63-b07f-1a43208fcb0b · outbound

This paper cites Learning transferable visual models from natural language supervision.

Estimating the Empowerment of Language Model Agents Learning transferable visual models from natural language supervision

Reference 32

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source=arxiv_source observed=2026-08-04T14:53:17.892413Z digest=sha256:ad400018161970906c1ceb2c5664cf75996e29d987e5be66c9ef0233a8a59b4a

Observation 5f8431ac-0514-40fd-8b91-6f1deea83eb0 · outbound

This paper cites InfoNCE: Identifying the Gap Between Theory and Practice.

Estimating the Empowerment of Language Model Agents InfoNCE: Identifying the Gap Between Theory and Practice

Reference 33

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source=arxiv_source observed=2026-08-04T14:53:18.160662Z digest=sha256:e88fa22b2785627ba1bb07b251575a28ed12ebe69348a70df4d01c0b017f7bde

Observation c83a3c6b-dc19-45bb-994f-e31c1e74d7af · outbound

This paper cites Empowerment—an introduction.

Estimating the Empowerment of Language Model Agents Empowerment—an introduction

Reference 34

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source=arxiv_source observed=2026-08-04T14:53:18.455535Z digest=sha256:e9f3e972fd942d7fe399e051c0418b8cd57157f6805d68798027584d5de18288

Observation 6113d919-51fc-43e4-9456-add712c61654 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Estimating the Empowerment of Language Model Agents Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 35

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source=arxiv_source observed=2026-08-04T14:53:18.554848Z digest=sha256:1d4dd46730403a139e6f0f20f08955c23637a3f813e577c850285d83f916d8ea

Observation 2c41b15a-eb3e-4234-89f6-a66182e4caad · outbound

This paper cites Stanley and Joel Lehman.

Estimating the Empowerment of Language Model Agents Stanley and Joel Lehman

Reference 36

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source=arxiv_source observed=2026-08-04T14:53:18.629316Z digest=sha256:ed1d122a0168258fd13aa10535b4d02c237df4ab23573358107f30b6db1db350

Observation 1e201d91-36b1-417b-b309-734031ca7edf · outbound

This paper cites Parametrically Retargetable Decision-Makers Tend To Seek Power.

Estimating the Empowerment of Language Model Agents Parametrically Retargetable Decision-Makers Tend To Seek Power

Reference 37

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source=arxiv_source observed=2026-08-04T14:53:18.705603Z digest=sha256:fddcda38be787b46da9f454aaeeca9e3bf4e2259d38b5dc59e47d22a812b3d78

Observation b94a43fc-e047-4243-bf79-cae070782238 · outbound

This paper cites Optimal policies tend to seek power.

Estimating the Empowerment of Language Model Agents Optimal policies tend to seek power

Reference 38

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source=arxiv_source observed=2026-08-04T14:53:18.824768Z digest=sha256:1e548b31de23bb234fc8948acad96eb26ab7e795ecb5589534cde5c8ad30a347

Observation f555413c-f106-4763-9fda-d7dad8fb9297 · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

Estimating the Empowerment of Language Model Agents Multilingual E5 Text Embeddings: A Technical Report

Reference 39

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source=arxiv_source observed=2026-08-04T14:53:19.004746Z digest=sha256:1d16f8fa50f70068f18d6a420ccae3862caa1118d7534b0fc1bc8bb485aee55e

Observation 1f8ace3e-861a-4217-b282-63f8738fb788 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments, 2024.

Estimating the Empowerment of Language Model Agents Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments, 2024

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T14:53:19.184746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:19.184746Z digest=sha256:bc7485c94df5f30cc4b468576c0c8db069e723cd206543ced6d8f05f1e50ede5

Observation 21a7a1ac-48ea-46a0-a99c-33b7cac9d373 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

Estimating the Empowerment of Language Model Agents A-MEM: Agentic Memory for LLM Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T14:53:19.264970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:19.264970Z digest=sha256:b8daaf206ab40e78209fb708480f0997745436a576a93d10419cb658af5850d8

Observation 94350bbe-4503-457c-997d-4f68bce82fe6 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Estimating the Empowerment of Language Model Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T14:53:19.354745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:19.354745Z digest=sha256:a6a90729c7b8d5a80767de6b139f5447e0ea17063152a45eb87dd01e2514b0c6

Observation 4c46d99b-d213-4d57-844a-198bd91cbad9 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Estimating the Empowerment of Language Model Agents WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T14:53:19.475241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:19.475241Z digest=sha256:50f4f7e373fa2156bc329f0fca077b9d748f97b88b9894f5307c23c35ae039a9

Observation e882b30e-6fde-4720-b915-5dcf469b1476 · outbound

This paper cites @esa (Ref.

Estimating the Empowerment of Language Model Agents @esa (Ref

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T14:53:19.620456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:19.620456Z digest=sha256:86059bee84c469f9aa46a39b579c48fdb5b1359686aaf714b1f2b99d4a72277f

Observation 0452fd24-4311-4f30-9f93-901bca94b4ef · outbound

This paper cites an unresolved cited work.

Estimating the Empowerment of Language Model Agents Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T14:53:19.734746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:19.734746Z digest=sha256:d75efe50a92e0e6249ee55b00ae99c5e5e750694882a50cfd6fc1bbce5f810f6

Observation d0c432f1-be56-4f2d-b459-8818703c5766 · outbound

This paper cites agent is located at x=2,y=1.

Estimating the Empowerment of Language Model Agents agent is located at x=2,y=1

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T14:53:19.811483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:19.811483Z digest=sha256:7cfe16d476212fa13a1c09ede8478f90e239fd2ac9c5825c035b5b00427d7f24

Pith citing papers

No inbound Pith citation observations are available.