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Paper Citation Record · LEDGER

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.22809.

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

pith.paper-citation-record.v1
2505.22809 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:36.287073Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

38 of 38 outbound references displayed

  • verified exact5
  • verified fuzzy8
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a04a388-3792-4657-929b-38c49ca9bd00 · outbound

This paper cites Ontological Overhearing.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Ontological Overhearing

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T13:04:37.003455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:33.552021Z digest=sha256:bbb19494d114c1421c8783fb4b821b99ac4b6713f1d631a17108b0475476cb36

Observation 6762cc51-e4f0-4cfa-8b32-a91a092d8e01 · outbound

This paper cites Homogenization Effects of Large Language Models on Human Creative Ideation.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Homogenization Effects of Large Language Models on Human Creative Ideation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:33.613209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:33.613209Z digest=sha256:33fd6661769df9ea0e8c91448e9e95a15f519c4c2bf84b24e1ca8f928a1aafd6

Observation 693234fa-e638-4c1c-a89b-99755274b014 · outbound

This paper cites Investigating Proactive Search Support in Conversations.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Investigating Proactive Search Support in Conversations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:33.690229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:33.690229Z digest=sha256:5e0ec6d671089ff043a60629ab02291f71d3168f0e4c21ea35f1806c22901320

Observation 295ce491-7207-4b37-9ecc-9aad0165cbf3 · outbound

This paper cites James, and Nadia Polikarpova.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay James, and Nadia Polikarpova

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:33.771644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:33.771644Z digest=sha256:0d2cb3416e594de3db10c066a99924dabb3158bd58c61f3a942a3793c2e6d0e3

Observation 39f96a59-b3e2-4e2e-8579-5f5157d4e45d · outbound

This paper cites o m, Staffan Jonsson, and Staffan Bj \.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay o m, Staffan Jonsson, and Staffan Bj \

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:39.466104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:33.840213Z digest=sha256:41a54caaaa756648fa71ffe7ef56099cff2dbb465ccaadb98f2434b4ce161656

Observation 9bdef4bf-2c98-4f03-951a-809a566a2ecd · outbound

This paper cites Extending Multi -agent Cooperation by Overhearing.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Extending Multi -agent Cooperation by Overhearing

Reference 6

Resolution
verified exact
doi, observed 2026-08-07T13:04:36.854330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:33.893551Z digest=sha256:dc93af5f3f0d1938c25a8008968b25dfe69d655391fe5725d6d2a165fbbf9cfd

Observation 66f918c3-4ef5-4faf-8c27-733a0caf89af · outbound

This paper cites Martin, Daphne Ippolito, Suma Bailis, and David Reitter.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Martin, Daphne Ippolito, Suma Bailis, and David Reitter

Reference 7

Resolution
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no resolver link, observed 2026-08-07T13:04:33.957198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:33.957198Z digest=sha256:c89384c5e58f44750b9a2cc942c80fe1a723e0291a071118c79901142c44b41f

Observation dca93bdc-4b84-422f-89e9-b6c823e4d71a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Evaluating Large Language Models Trained on Code

Reference 8

Resolution
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no resolver link, observed 2026-08-07T13:04:34.051031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:34.051031Z digest=sha256:5cc5a02c61145f06cfa72e2e8a6067bccf79f0bbc34766597425457af6a3f1f0

Observation 07329eba-4995-4892-9d5c-f2c1e66c8a9d · outbound

This paper cites D&D Basic Rules.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay D&D Basic Rules

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:39.369438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.126104Z digest=sha256:581ab385476c88db98c8c27f03c1facc23dedaedab67221913e1ae7f0f3ae248

Observation e1aa34b8-9c77-4498-afb6-def50a3aaab9 · outbound

This paper cites Ferreira, Levi H.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Ferreira, Levi H

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:39.110790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.203695Z digest=sha256:74c78a3239694a300d59f5dd1ca35a11e2403346653559b4090efe030c16fafe

Observation c0c16170-cc1c-4c8a-9283-83f0e9566ab1 · outbound

This paper cites Introducing ultravox v0.5: Taking the lead in speech understanding, 2025.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Introducing ultravox v0.5: Taking the lead in speech understanding, 2025

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:38.817602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.250061Z digest=sha256:64a23cb4ede9e910dbd79e65dcda6ce8e320f1b805c0d123ffa80b96dfca45dd

Observation e368e59e-a6cb-4baf-9718-948fd0766a46 · outbound

This paper cites Yannakakis.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Yannakakis

Reference 12

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no resolver link, observed 2026-08-07T13:04:34.310416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:34.310416Z digest=sha256:5d99779c525b4489e71552fd5589f8d4f6f86152a4bc5dd6afc15ca71bb4719f

Observation c83f567b-0c0e-4e63-b010-6181c87be902 · outbound

This paper cites The curious case of neural text degeneration.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay The curious case of neural text degeneration

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:38.588271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.391624Z digest=sha256:9749fc7db79dee2b1ed51000e5ff65fc0dae9a0092f3006f91df33bd015219a4

Observation 7cb65611-b574-44a3-bee2-c429c866676c · outbound

This paper cites Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:34.461263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:34.461263Z digest=sha256:91e03447ab4b92c7c7f75f54e1b40d211ed4f817829aae84feedbba61bcfa9f6

Observation 8448978d-0202-443a-8614-04049f94a5da · outbound

This paper cites Towards Computational Support with Language Models for TTRPG Game Masters.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Towards Computational Support with Language Models for TTRPG Game Masters

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:34.550569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:34.550569Z digest=sha256:a18ff4d314b550562a3a10eb8974beaa2409edf166e353722ced0ea6067cfa53

Observation 69e9e6bd-8332-49c7-942f-e1dfb7f85b83 · outbound

This paper cites A review of prominent paradigms for LLM -based agents: Tool use, planning (including RAG ), and feedback learning.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay A review of prominent paradigms for LLM -based agents: Tool use, planning (including RAG ), and feedback learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:38.393184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.651937Z digest=sha256:7b4c5ba0b9d83353afd0370448096c018b6e20bf1bd0ff0c953481d60b287155

Observation a4ecf2d5-d0c0-4ada-b1e3-b65ef4be1471 · outbound

This paper cites an unresolved cited work.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Unresolved cited work

Reference 17

Resolution
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no resolver link, observed 2026-08-07T13:04:34.754951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:34.754951Z digest=sha256:00f517307b675189cc731e7191deda5013e2b58ff9cc148b1f44484f0d671239

Observation cb50d3bb-fccf-472d-8102-2d549b14c0d7 · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:34.807578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:34.807578Z digest=sha256:71e540e91a4eed10cb31b6b51c9fab1ed9a9b2f5d23638bfae04cdab8fe429ef

Observation 85541bf7-4f5d-4d1f-b199-110a1c022103 · outbound

This paper cites Novick and Karen Ward.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Novick and Karen Ward

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:38.229756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.859948Z digest=sha256:d4e6a7089bbaf151a50cc9f2d2f1107dd7227bd9de70c6931fbf122af4e35c2c

Observation 211cddae-0f65-462f-9d59-4f3c52b66a79 · outbound

This paper cites GPT-4o System Card.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay GPT-4o System Card

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:34.942125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:34.942125Z digest=sha256:4912acd65a2c4f3360cc0262b4677ac54f386781c09af7220d87e3bea033adea

Observation 9ebf3f80-3292-4f57-9964-c64961dc4323 · outbound

This paper cites Bardo: Emotion - Based Music Recommendation for Tabletop Role - Playing Games.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Bardo: Emotion - Based Music Recommendation for Tabletop Role - Playing Games

Reference 21

Resolution
verified exact
doi, observed 2026-08-07T13:04:36.735557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:35.039778Z digest=sha256:0e253d4e4a88dbdb0fc3d5bdeabfba92540feefc9fec36e7e67d16c2417994cf

Observation 4577f3e6-e150-4065-af86-0d235101e7d5 · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Robust speech recognition via large-scale weak supervision

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:04:38.000346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:35.108466Z digest=sha256:57bfa30689af1e39188476edc6868b91772a92b24c98888dd209ebd3c49617d3

Observation 0837e8e2-3ed3-418c-a3b1-1bc60960c6df · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Toolformer: Language models can teach themselves to use tools

Reference 23

Resolution
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no resolver link, observed 2026-08-07T13:04:35.183356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.183356Z digest=sha256:b7ef266a0b456059444f087af447227282808244098ca7d76dc1c212fca871b1

Observation eeffbd08-3065-4baf-ad9e-1b44179a41c8 · outbound

This paper cites Understanding by addressees and overhearers.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Understanding by addressees and overhearers

Reference 24

Resolution
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no resolver link, observed 2026-08-07T13:04:35.236500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.236500Z digest=sha256:a6d3caa2d6b266c0fd71d528113facd56b4cd66ae800175683a24a19bebdc56b

Observation ff65351a-1fbb-4d53-8051-e1fc3db79425 · outbound

This paper cites an unresolved cited work.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Unresolved cited work

Reference 25

Resolution
verified exact
doi, observed 2026-08-07T13:04:36.602943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:35.350792Z digest=sha256:efd788f98b4c23d42c28ea67b5b99ef1a415119b93fa05028bdeb0b43f4ea483

Observation a8012d6f-80e8-4725-ac1a-f3e7f5f6fa96 · outbound

This paper cites Investigating Users ' Preferences and Expectations for Always - Listening Voice Assistants.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Investigating Users ' Preferences and Expectations for Always - Listening Voice Assistants

Reference 26

Resolution
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no resolver link, observed 2026-08-07T13:04:35.392033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.392033Z digest=sha256:97cfb5d3bdabf772c67ad22d46daf12704fd73ff635aba0685ab29245a2d357b

Observation 11b19c28-e88c-455b-8a1c-54183b054d2b · outbound

This paper cites Chi, Quoc V.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Chi, Quoc V

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:35.504518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.504518Z digest=sha256:97bc3f7ed7596cc3f7ca3542cce11d0613223c2ca09a16cef357c056dd563805

Observation 503e87be-a258-434d-801e-ad45b73a6dfd · outbound

This paper cites Efficient Guided Generation for Large Language Models.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Efficient Guided Generation for Large Language Models

Reference 28

Resolution
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no resolver link, observed 2026-08-07T13:04:35.566360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.566360Z digest=sha256:6ce5c221981d3f308c73e0029ff173ec32aad5445396eded6a9ed9395a9c5237

Observation bf24cc49-f568-4ab8-9e90-edcb72fe77de · outbound

This paper cites Qwen2.5-Omni Technical Report.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Qwen2.5-Omni Technical Report

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:35.610623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.610623Z digest=sha256:66f970f47c845603abd801fe95f41a23e3bd8e31dd9801c2848f947160ac4fb3

Observation f56cea17-f711-47ad-91f8-486cd1f1b71b · outbound

This paper cites Narasimhan, and Yuan Cao.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Narasimhan, and Yuan Cao

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:35.717479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.717479Z digest=sha256:c84cc374505651103aaf2b210993f749d5bc2328871cf92480c62954e0db4b31

Observation 49bf774f-66e3-4ad9-bf96-6272d6917e55 · outbound

This paper cites Wordcraft: Story writing with large language models.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Wordcraft: Story writing with large language models

Reference 31

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no resolver link, observed 2026-08-07T13:04:35.794533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.794533Z digest=sha256:aa16eae8bf478f5a37f80cf19cb26ce5cdee1120ca96a3965ecdd35ae8841c3f

Observation 71e92af0-4aec-4b3a-9a9a-e63d7189fe3e · outbound

This paper cites I cast detect thoughts: Learning to converse and guide with intents and theory-of-mind in dungeons and dragons.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay I cast detect thoughts: Learning to converse and guide with intents and theory-of-mind in dungeons and dragons

Reference 32

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unresolved
no resolver link, observed 2026-08-07T13:04:35.874505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.874505Z digest=sha256:6447dcd829744cf4af71123893aca44a3298c82863c4131ac8873f83a03c5f79

Observation ae442a46-c8ff-4bec-99b5-a9ba89a1dc51 · outbound

This paper cites Kani: A lightweight and highly hackable framework for building language model applications.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Kani: A lightweight and highly hackable framework for building language model applications

Reference 33

Resolution
verified exact
doi, observed 2026-08-07T13:04:36.455242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:35.944325Z digest=sha256:999d0e07a26744f36f32233b165f0e2e0a7bf93e26b9d8467ca3571da523c221

Observation 0757bb13-0410-402b-8359-d6fcc557b7d6 · outbound

This paper cites CALYPSO : LLMs as dungeon masters' assistants.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay CALYPSO : LLMs as dungeon masters' assistants

Reference 34

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no resolver link, observed 2026-08-07T13:04:35.996790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:35.996790Z digest=sha256:f419ab8144ae98901b5ceeee737abb5bc008abab519f173475c21e2638af3d41

Observation f894a80d-4a7c-45ff-86bd-00ac62ec39c8 · outbound

This paper cites write newline.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay write newline

Reference 35

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unresolved
no resolver link, observed 2026-08-07T13:04:36.094816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:36.094816Z digest=sha256:af4b34a243b9ed1c5f9706aac944655ea7954b64349cda5e268f2eefd2cc1f96

Observation 225b7c72-cf6c-4411-970f-0d9127adfae7 · outbound

This paper cites @esa (Ref.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay @esa (Ref

Reference 36

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unresolved
no resolver link, observed 2026-08-07T13:04:36.173034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:36.173034Z digest=sha256:9debab0057ed84e2aac26db91efb5e5a7496e1ef47e3224f3a3ec1c30e20bdd4

Observation f460386b-6119-4a88-a82e-b57e5570ea36 · outbound

This paper cites an unresolved cited work.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:36.224494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:36.224494Z digest=sha256:3f38f225d111426710fea25d75b3d9480a9b5e7d48c910ea59f38f74b57bf28d

Observation 74209042-14be-472a-a28d-2b43fc61805b · outbound

This paper cites an unresolved cited work.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:04:37.856641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:04:36.287073Z digest=sha256:a51b656c77e9f94d87877ec3ad2f5dafb0429b7ed689e7bcf6c44a30440cec3b

Pith citing papers

No inbound Pith citation observations are available.