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Paper Citation Record · LEDGER

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2505.24710.

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

pith.paper-citation-record.v1
2505.24710 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:33.785748Z

measured 37 of 37 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 2026-08-07T05:22:49.446570Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:22:49.880807Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6dbf483-a068-4b82-8a78-bd1547bf81dc · outbound

This paper cites Cause and effect: Can large language models truly understand causality? In Proceedings of the AAAI Symposium Series , volume 4, pages 2--9, 2024.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Cause and effect: Can large language models truly understand causality? In Proceedings of the AAAI Symposium Series , volume 4, pages 2--9, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:38.632895Z

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=2026-08-07T12:35:30.851997Z digest=sha256:eb622a3455e76282b869a9195d82e32161c1cc62bb96f0a326b755e890678e3f

Observation bd11f749-6309-40af-a42b-2807c898ca6a · outbound

This paper cites Vision-language models as a source of rewards.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Vision-language models as a source of rewards

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:38.401832Z

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=2026-08-07T12:35:30.933176Z digest=sha256:5bc541cbe414e5783d82984e4e7a9d101b14e21b6562e0b6a90a47f6b609dff6

Observation 71e39bf4-863a-4f33-9b19-01888c7803b9 · outbound

This paper cites Language models are few-shot learners.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Language models are few-shot learners

Reference 3

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unresolved
no resolver link, observed 2026-08-07T12:35:31.015770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.015770Z digest=sha256:2828f047ece4a772ae986843b9f9880b555e89f1d7130560b5f854ee030d2d7e

Observation 92cf083b-7a2b-42ae-9368-1ef4515e5b3d · outbound

This paper cites Granger causal representation learning for groups of time series.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Granger causal representation learning for groups of time series

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:38.234049Z

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=2026-08-07T12:35:31.104903Z digest=sha256:8bae2c74666ddcd3d2dd7a9bb6085ce6864f838657b14ccaa9cc2f6c9b712df7

Observation b282b8e7-7485-4d41-97a1-637186aadd56 · outbound

This paper cites an unresolved cited work.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-08-07T12:35:38.026679Z

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=2026-08-07T12:35:31.177473Z digest=sha256:ee1955d25961201f5a1da96e9570f3729071ffee16890a720e066827a92b99ab

Observation 9009e3d2-25e5-4477-916e-f41250a4cce0 · outbound

This paper cites Guiding pretraining in reinforcement learning with large language models.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Guiding pretraining in reinforcement learning with large language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.815722Z

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=2026-08-07T12:35:31.252446Z digest=sha256:604c7054241541e0a63e29a2d8cca76e17e761a0d7683270e371c75361527c8d

Observation dfbd7fa3-a857-4f50-93fe-865243e99c1e · outbound

This paper cites Is C hat GPT a good causal reasoner? a comprehensive evaluation.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Is C hat GPT a good causal reasoner? a comprehensive evaluation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.631648Z

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=2026-08-07T12:35:31.346757Z digest=sha256:7ca7ea7dd812a5944134c392a796ca7f9ea4f8fc282b858cbbb12da69e61dd5b

Observation f8a38d71-8c19-4772-963d-6804917c33ac · outbound

This paper cites Mastering atari with discrete world models.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Mastering atari with discrete world models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.466478Z

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=2026-08-07T12:35:31.416953Z digest=sha256:1ebade4cbab6065e6ef5b7c2d8349b8ae36413b9055d0d1586b8f4c0531624fd

Observation 6a89f984-2196-45ad-9335-59a7a0b34c89 · outbound

This paper cites Mastering Diverse Domains through World Models.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Mastering Diverse Domains through World Models

Reference 9

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unresolved
no resolver link, observed 2026-08-07T12:35:31.489453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.489453Z digest=sha256:5f1b73978f50884cec2736a23708c217dd9bcb0fcc4b4d3fed47f051692b437f

Observation 7fb83907-a0f4-4e61-9caa-485c4f7618ea · outbound

This paper cites Benchmarking the spectrum of agent capabilities.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Benchmarking the spectrum of agent capabilities

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.274734Z

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=2026-08-07T12:35:31.586817Z digest=sha256:703dc50562edcda205d66936de8a60c52e87100c7d4c7a090d120f34f31681c4

Observation 69bbc948-b411-4129-b777-13eba86d9db2 · outbound

This paper cites Benchmarking the spectrum of agent capabilities.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Benchmarking the spectrum of agent capabilities

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.111999Z

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=2026-08-07T12:35:31.632463Z digest=sha256:bd1373a0743fc38482bd2f36af083f58f9ae6b1c4afc025e83ab15e8754c3ade

Observation 1656aa4d-6004-413c-bfe2-3cea82176551 · outbound

This paper cites Rainbow: Combining improvements in deep reinforcement learning.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Rainbow: Combining improvements in deep reinforcement learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.714870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.714870Z digest=sha256:c8eac7d37675dfaa24c3a9da6036a66f26278e6d0475e3d1487203cfab266775

Observation 6d3851cc-dfe4-47e4-8508-cdf7899d4a80 · outbound

This paper cites Thinking, fast and slow.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Thinking, fast and slow

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.793604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.793604Z digest=sha256:d7ed324fd73efc11c0db221ebfc7a77b01c7fbb77eaf1f54e768610043d38b8a

Observation 738bcebe-ce3f-4efe-8f03-823d717154f3 · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Deep reinforcement learning for autonomous driving: A survey

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:36.913781Z

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=2026-08-07T12:35:31.950732Z digest=sha256:1f8e63d9568a3f30783150442b3589d308c286251a540b25c517c83bf88bd9fc

Observation 012d7208-8aa3-4465-bc97-0bf87a916eac · outbound

This paper cites Reinforcement learning in robotics: A survey.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Reinforcement learning in robotics: A survey

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:36.671205Z

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=2026-08-07T12:35:32.081546Z digest=sha256:0556893d7cae2d22ef726df149105044912e92b2a59f07bf11554fd4f8c7e9f4

Observation 7e13cf59-52e1-4507-b503-13929c6e7c58 · outbound

This paper cites Continuous control with deep reinforcement learning.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Continuous control with deep reinforcement learning

Reference 16

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unresolved
no resolver link, observed 2026-08-07T12:35:32.199430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:32.199430Z digest=sha256:104b92aa77b7d057c88adb529945e1e903ebda1cd3ba2bb73bd32c63fb3418ee

Observation 033b8727-1f6c-4c47-93d0-e376b901417b · outbound

This paper cites Goal-conditioned reinforcement learning: Problems and solutions.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Goal-conditioned reinforcement learning: Problems and solutions

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:36.485691Z

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=2026-08-07T12:35:32.293110Z digest=sha256:87c996e214164a379581fe36b9bc733db0c455305cd48b3133bde5f8c5ae9bb0

Observation 1e663b93-050c-4026-980b-d64d817eb0d8 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Playing Atari with Deep Reinforcement Learning

Reference 18

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unresolved
no resolver link, observed 2026-08-07T12:35:32.385308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:32.385308Z digest=sha256:a164a12b99d06d46bad31d8ea7aff454633af39c44d903d4f35ff81ab70062b4

Observation 6e131b18-e951-480c-b550-ee78186d90e5 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Asynchronous methods for deep reinforcement learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:36.311066Z

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=2026-08-07T12:35:32.474444Z digest=sha256:a657eb2ef03ffd5a51dea5c4c84c2652f0eb1082d001fd2b015895a971b8d066

Observation 888353b6-0f3b-47a8-9c28-0ccc090d5415 · outbound

This paper cites Discovering hierarchical achievements in reinforcement learning via contrastive learning.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Discovering hierarchical achievements in reinforcement learning via contrastive learning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:35.928560Z

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=2026-08-07T12:35:32.570099Z digest=sha256:bd44e348f6d2b18fcd27852dc189ef61e964fa2422b9e4c427d42594a1bde756

Observation 70bfe095-c092-4809-b42d-6ac1c4358d81 · outbound

This paper cites The book of why: the new science of cause and effect.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting The book of why: the new science of cause and effect

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:32.684725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:32.684725Z digest=sha256:421f0ed5d2003802510748b96e44d1bc39ac9bf67ff492427e8f13057c46a845

Observation bf007c51-2ad4-4fb4-81f0-3739b4884968 · outbound

This paper cites Causality.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Causality

Reference 22

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unresolved
no resolver link, observed 2026-08-07T12:35:32.762459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:32.762459Z digest=sha256:4405c2ff7e4409c4e313f500ffa935478f33a875cc449463c00b30f53d1135af

Observation b794e016-fad0-42f2-9dfc-bc33df98af99 · outbound

This paper cites Trust region policy optimization.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Trust region policy optimization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:35.505181Z

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=2026-08-07T12:35:32.852793Z digest=sha256:0d9689181f66cae26064621bc77f0c1b745bb21f5c524c0a3860ccecc95ba75b

Observation fb4a8e99-61fe-4f51-80bf-3f2b115d16b5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Proximal Policy Optimization Algorithms

Reference 24

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unresolved
no resolver link, observed 2026-08-07T12:35:32.915213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:32.915213Z digest=sha256:d7164547c81c03fd50e7e0346b4865cef4f10c4531ab4db44c5ce2cfff388ab9

Observation f8ab642d-44f0-4541-9831-125b6c82a464 · outbound

This paper cites A Survey of Deep Reinforcement Learning in Video Games.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting A Survey of Deep Reinforcement Learning in Video Games

Reference 25

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unresolved
no resolver link, observed 2026-08-07T12:35:33.005100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:33.005100Z digest=sha256:d9a98a5f88a24fd1c3217705af0b68abd1f62202672988c71c2789f4f9d4e18c

Observation 5b8c7e74-4e70-46cd-a28b-b9f90beb5a9f · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 26

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unresolved
no resolver link, observed 2026-08-07T12:35:33.069608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:33.069608Z digest=sha256:8a50cd19e7511908eb28f75ba101a622e6ceb4a25df22c5db3ceb1071e06f114

Observation 7248cf11-84ea-4b46-86dd-91f44e7158ac · outbound

This paper cites The optimal control of partially observable Markov processes.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting The optimal control of partially observable Markov processes

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:35.171341Z

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=2026-08-07T12:35:33.144113Z digest=sha256:15bff46541a5a3d894d4cce8eefcc0b73eca8524020dad819ab4de13c1ddaf81

Observation f830e0a3-6b27-4b1f-b1a8-0a626545669b · outbound

This paper cites Adaplanner: adaptive planning from feedback with language models.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Adaplanner: adaptive planning from feedback with language models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:34.911072Z

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=2026-08-07T12:35:33.262333Z digest=sha256:0d4f58629a290febb3c7cf0a5749f86de5a409b3b624aebcd0dffedfdd1560ef

Observation 29cd206a-9d4e-4a6f-9b01-2cc0ef5c04de · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting LLaMA: Open and Efficient Foundation Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:33.331555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:33.331555Z digest=sha256:255d584765e0d485308433d14afc66f455875214c5c48a1a6dd24460cd82cb9e

Observation a83aca61-7ce2-4b41-a7ba-e8926d7eacf6 · outbound

This paper cites Learning from delayed rewards.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Learning from delayed rewards

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:34.645760Z

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=2026-08-07T12:35:33.400804Z digest=sha256:d5581ad066cab1b9eafca76959a9cbe2aa2cc9c4290da380bef648b3cc8514c0

Observation c9153d2b-5b5d-42f8-bb44-85a53e882de9 · outbound

This paper cites Spring: Studying papers and reasoning to play games.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Spring: Studying papers and reasoning to play games

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:34.536469Z

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=2026-08-07T12:35:33.452908Z digest=sha256:3487fb2050657fc8eb80f83af29f68a579eaa35a1013ce10ab068e0b17ee8bcf

Observation 79e33a58-8c1b-4a4c-af1e-6d8df297371d · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting React: Synergizing reasoning and acting in language models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:34.373662Z

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=2026-08-07T12:35:33.520134Z digest=sha256:801c3f4b34b24445695fa27e05b52d34f75fd54aaae8734897ece6b171d14864

Observation 1b0703b5-4311-4878-8404-c60201945172 · outbound

This paper cites Adarefiner: Refining decisions of language models with adaptive feedback.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Adarefiner: Refining decisions of language models with adaptive feedback

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:34.127958Z

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=2026-08-07T12:35:33.598496Z digest=sha256:f48b87ab547b8863c1e48cd4636453cf9ed7166dd05789b40c29b815fc32df32

Observation 1a3297d7-77ec-4d5d-9e1e-9b241beb347e · outbound

This paper cites Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 34

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unresolved
no resolver link, observed 2026-08-07T12:35:33.695962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:33.695962Z digest=sha256:13b294592274c71bd3cbda41f1a5e49e6fc1da5c198d4eccddb0f59cdb3f4fd8

Observation a2b3ad90-190e-477c-99e9-c83bf12c2c7b · outbound

This paper cites write newline.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting write newline

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:33.785748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:33.785748Z digest=sha256:7700576def85be2e33b938cbf2bc77fb6382f10a53073035a9c735b609dd9ece

Pith citing papers

Observation 1c5c943d-b0d0-47b8-bf4f-e306f2a7ca69 · inbound

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem cites this paper.

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:22:49.886259Z

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=2026-08-07T05:22:49.446570Z digest=sha256:60341185c45d90565e0923ef9ec1b83e89fcdcfe5ded1caba91a5976197df08f

Observation 2edb161f-e51e-48b5-832c-ff321df8db3a · inbound

Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning cites this paper.

Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T10:58:16.118523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:58:16.118523Z digest=sha256:293ee31fce312accec904be8843b673814c4ecd1092a436f7c63bab936ef11af