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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:33.552021Z digest=sha256:a84d6051f991b19f4b98cd6d98004e273e64fc72fea730c30a71cd3f722fc7c2

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
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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=sha256:096c97bad19d12b723a7d12c21af539c54734aa017491f1a1478df789b1d9055

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=sha256:70755a920fa0749228cf740b993ecf5f230229f6f3b88d441615e29412159316

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=sha256:862402bde566c0ffe776facd6201e9e52c6ab6102f37cc0dc4830b04d17c9959

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:33.840213Z digest=sha256:78e4eb83d2d900f5b6c801e5f478e779c8a764c7c9a269e4d530739e9d248ac0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:33.893551Z digest=sha256:d76726fa9a802ef70e1e567851067c5ac46a11e0d77a88363b3248c4a391f129

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:04:33.957198Z digest=sha256:cbc56c7680947fef96bf3a572cd37aa04fa8c1dafcaef25eaaa727dc6b94e324

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:f44c154057a2605e8513d77e2475e590d80258c1e70f691718dc738a54bfb840

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.126104Z digest=sha256:6651a88a7f7b60c5981248a9571363cf3ce2cece6949f4c03e1ca94fcf819710

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.203695Z digest=sha256:94b617a58c78d8443ba86d01dde80669f94a3d61ec1fc8b85d9479faa1cc7471

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.250061Z digest=sha256:87759a6bd54d4ac6f8dcf56bb3b8c43516b434a4f88d0bfb4a1e86425c774877

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

Resolution
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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:fd9b98ccc5b70352c803a87d07a152d7a54c6a82268766bad3f5766aae71d92b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.391624Z digest=sha256:c99994b9989e92cce0b62c2c1401a480d995d9343e0c25c732bc30758182dc7a

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:cddca217e8a3f0023e0e9c489da6e7732533663c54949a25e6bca5a8a30d2c86

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:cb9f1e846dec0be5b0e809e98abffabe045c588a8cd5e0194feef0fa2e252b17

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.651937Z digest=sha256:3fb61d4bef0900d6210e7b60f412bc35ec1b8d8ca4aebab96ab0d19cb7e59f74

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=sha256:63f89dfe674073156384bda34c1ec67924980ecda852b9f8d7d2803d3f840b05

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
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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=sha256:25c4bb4e5c96ec53cd78bac24d069b85f6148bf5a6295e79af871bc06ec322f8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:34.859948Z digest=sha256:387d915cc6e3c23b84bcd21febd22467a1f771942825cbeb5f61b789b674f3d9

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:f34425521cc3cca22052ccb23e62f165fed9b9584f6f17d16fac677342b2fc85

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:35.039778Z digest=sha256:d69f1a19d7d8d148fa5b7a0ede330059bcf4717358a49bcd770d8e5339c4601d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:35.108466Z digest=sha256:f4f2164dddc4876f79fb3357863c945cc72b8a8fe5585cdfe78935544458c57c

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:c5ea6d82dd19bab76ca1f4a4f20fb7ce681e6a42e56f1c95e48a2297435d0046

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=sha256:2a4a04407008a1df13b03d284206548bc71645df113db311a0d64e6944aed43e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:35.350792Z digest=sha256:9478f1ab3ac10d8ccd8234980a6e170df7a05725480fd8d31dde9bbed3eb5bb8

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
unresolved
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=sha256:03e617dcec194416d9c811596f9aedee3f7d60506019ed74f0fdd377c8c5c3e4

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
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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=sha256:7dc06f34575b2c65213cec58174f90f86a68b11ed47eaedec242965b481e0a01

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=sha256:77821ed0f4ce563b2fd095f3ea49888683ef4cfb118ccc466bad05e4a7c5cb68

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=sha256:068834aabdfc116ba8e00acfadd2ef76f8cea4180afa1deb7b6c8c2610f45085

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

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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=sha256:2eb8bc3f84293cff5b60f124fe2510f49b7f8ffcd75caad7897d6d5e490c6336

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=sha256:32c74f16e742df315903d97f812c5874c3298658bb276cd5837e20703a42b029

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=sha256:70c261da855ba6010b918de1a2d91cfb222d5938bfcf598adafe60e91679a68b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:35.944325Z digest=sha256:7d0d2c56a65c739dea8c06a85e413b85907ebbd55a7e8893985e7b642430c5b8

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=sha256:6114bf3129a2cce9358763ae3596c73797e7fe646ec5138cd6379906570757ef

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=sha256:07734b5ebcaaf5e6cd04f6ecfa11c4ec3dcac7e5e90bedd338943dd610198cf8

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:a8ce5cd5e60de599bc958518d16c8d9e4502b110c3caad3f2bfb265b53b36319

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:b4ea254c5bc39e723c888a632fa4ff1284c69f895047e143ff1dc2e13d576f35

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:04:36.287073Z digest=sha256:6e613968b90ab304202477dc72bd81863676c889066def1bb38de98528359f34

Pith citing papers

No inbound Pith citation observations are available.