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Paper Citation Record · LEDGER

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction

As of 6 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2604.08771.

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

pith.paper-citation-record.v1
2604.08771 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:56:17.948412Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T09:20:01.288953Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T09:25:40.042158Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc743e6a-b0b3-4aac-807d-9c37cefa2921 · outbound

This paper cites To- ward sensor-in-the-loop llm agent: Benchmarks and implications.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction To- ward sensor-in-the-loop llm agent: Benchmarks and implications

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.810616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation fb9e0acd-61d5-4ff4-83b8-cbea8302aa54 · outbound

This paper cites Language models can improve event prediction by few- shot abductive reasoning.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Language models can improve event prediction by few- shot abductive reasoning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.813601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:b6347356b4241849e7ab7e998d98dcc30cea3e601b3a32469eabec322700ca8a

Observation 70b3b795-66a8-4379-8646-32ba8a1d173e · outbound

This paper cites Exploring the capabilities of llms for imu-based fine-grained human activity understanding.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Exploring the capabilities of llms for imu-based fine-grained human activity understanding

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:598ccc57e2ba7342a8ea30a505b55dd0a27cb6cc8a8e1c08125f1c89c4c2282e

Observation b6770df9-0db4-44c9-bf22-57ac875f5a00 · outbound

This paper cites Murmr: A multimodal sensing framework for automated group behavior anal- ysis in mixed reality.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Murmr: A multimodal sensing framework for automated group behavior anal- ysis in mixed reality

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:59.353031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:977943b43d5de77ad2f7cf75079491b9351d2cccf58107ce1c23f480bcf86565

Observation dca2b21f-4c77-4108-b044-7928d7ced8fe · outbound

This paper cites Pointpresence: An online habitat for multi-user mixed reality telep- resence.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Pointpresence: An online habitat for multi-user mixed reality telep- resence

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.785327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:2bfa9bf30e24e7a7c7e378952e52b372de2224fc9c811accda56ad0c4b2170e6

Observation ae79708f-2e41-409f-90de-f5a9cecf68f0 · outbound

This paper cites Pentland,Honest Signals: How They Shape Our World.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Pentland,Honest Signals: How They Shape Our World

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.756544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:be2141a517257ba9cfec686542df010ec33a5f33a97758b537e5b66f4269c452

Observation 7b376f90-cdd1-4e7f-add6-2902632df047 · outbound

This paper cites Network ecology and adolescent social structure.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Network ecology and adolescent social structure

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.774603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:d79d3a5db6a8311d2591556db5c7cef28f99e393482ade2f804ce6eb570fbc6c

Observation d77a22ac-cba4-4228-973b-0d8890bad4e3 · outbound

This paper cites Sensing meets mobile social networks: The design, implementation and evaluation of the cenceme application.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Sensing meets mobile social networks: The design, implementation and evaluation of the cenceme application

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.800468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:abe5405ed73bfde25309d5cd2608bba860eb057e02ca5d42b15fc3d06eae2aa8

Observation 82f7eca3-c9d2-48f4-9f74-305ec62a050b · outbound

This paper cites So- ciometric badges: Using sensor technology to capture new forms of collaboration.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction So- ciometric badges: Using sensor technology to capture new forms of collaboration

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.795112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:c8376bc210ed212ed0ab82d95c485fee9667c4b1509145c1f04ed52123da04db

Observation 09ca6994-44e4-440c-8475-a9949fec924f · outbound

This paper cites Teamsense: Assessing personal affect and group cohesion in small teams through dyadic interaction and behavior analysis with wearable sensors.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Teamsense: Assessing personal affect and group cohesion in small teams through dyadic interaction and behavior analysis with wearable sensors

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.771729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:adee4627eeb314fec78ff8ef9ed2f7d71a36536791b27a1069c820406b922df3

Observation 98801484-f691-4482-b09c-e8e024c4a280 · outbound

This paper cites Long short-term memory.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Long short-term memory

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.792728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:2385de95e9d71cdb6e7dfa251c9010a03aff1badd73ab357fc78bee7e7801a62

Observation 94437e06-43ab-42ff-9494-3bf0b4446250 · outbound

This paper cites Aroma: A deep multi- task learning based simple and complex human activity recognition method using wearable sensors.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Aroma: A deep multi- task learning based simple and complex human activity recognition method using wearable sensors

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.797879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:92b9469dd95ad94e68400497c883ea132eb5b00119fbe219317a2b2f5f7c1f75

Observation 52138283-385b-4ecb-8219-ec5dd4e93dc5 · outbound

This paper cites Time-llm: Time series forecasting by reprogramming large language models.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Time-llm: Time series forecasting by reprogramming large language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.790449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:4dc8550adb9ffe85fd8c87def6b3cf081f4230936a04a9fd4d4cd5b6cb73cf08

Observation e160de9c-0454-448d-ae3b-1bb6b480c673 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Generative agents: Interactive simulacra of human behavior

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.765403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:aac67a775a842990c1a240ee77d2f3a772af45a4af15f2a42d6a82002debc3c5

Observation 06a79cb3-e4c1-472e-a247-5e6780644f43 · outbound

This paper cites MoCoMR: A collabo- rative MR simulator with individual behavior modeling.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction MoCoMR: A collabo- rative MR simulator with individual behavior modeling

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.805685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:e737ad10ccf970139f7ea1cdfdc1e7a99155233edbaf5bba7641cfd590baca4d

Observation baaf28ae-e759-4c5e-b6f3-bce84fbec6fa · outbound

This paper cites Model- ing social interaction dynamics using temporal graph networks.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Model- ing social interaction dynamics using temporal graph networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.808080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:d6945f412e1c71e1801182c2acb4cfa0634abc1f3bf58fdc20e68a4010700583

Observation dd4ea6f5-ee38-4e8f-a52d-8c6a073b41e2 · outbound

This paper cites Towards immersive collaborative sensemaking.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Towards immersive collaborative sensemaking

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.762435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:8171a8993c9d47adb2711b6af146d75188ab39b08797b216b9985582728e367f

Observation a0a1b5f9-5644-452a-a84a-3c897e9c847b · outbound

This paper cites Introducing the open af- fective standardized image set (oasis).

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Introducing the open af- fective standardized image set (oasis)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.768667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:dcaee621883eb95731ee31b226fd685a8d337c2316f7b79045259d8fbfa3c2f7

Observation c2e35911-8bbc-4507-b19d-e642776c25fc · outbound

This paper cites GroupBeaMR: Analyzing Collaborative Group Behavior in Mixed Reality Through Passive Sensing and Sociometry.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction GroupBeaMR: Analyzing Collaborative Group Behavior in Mixed Reality Through Passive Sensing and Sociometry

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:59.347094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:55dc3bc3ef097140e875b172e750ebf4fdc8e487c688675bd29717ffe784f40c

Observation 5604aaf7-0da1-44af-9b6a-8e0c91cd1694 · outbound

This paper cites What sensors see, what people feel: An exploratory study of subjective collab- oration perception in mixed reality.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction What sensors see, what people feel: An exploratory study of subjective collab- oration perception in mixed reality

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.759529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:a9dd8e9a135d9ca98f4cb2f3b482b9ee77810fa32891b5bf560845584dfe9f77

Observation 4108c8af-b9f3-40d0-a001-570494e5b7dc · outbound

This paper cites Moore and P.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Moore and P

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.782781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:ec1cb9f90b02f868290a84d9fc61c4e223957636a6c6a24d0a0e7521428b5be8

Observation d622bf77-fe7f-4ec1-aed6-b8b17a0aa40b · outbound

This paper cites Teams in organizations: From input-process-output models to IMOI models.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Teams in organizations: From input-process-output models to IMOI models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.780052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:8b28900c6b40f9f734f608e3d59a228fc75f18df6433a6327b1440c2c3ec9e1a

Observation 52406230-1259-4371-9011-d0678e6b350a · outbound

This paper cites The influence of shared mental models on team process and performance.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction The influence of shared mental models on team process and performance

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.803005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:9ead8fb74ec5fa897985e79dc139a489a7dbea88c16d684612424b4f1c4e3c79

Observation 5a0ebfd1-f791-4db7-a47e-7b73bd4ca9a7 · outbound

This paper cites Lora: Low-rank adaptation of large language mod- els.

TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction Lora: Low-rank adaptation of large language mod- els

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:47.787822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:56:17.948412Z digest=sha256:421b140fe20732ddccb6401dd56c0251b3aff13eec3936505499c5126668a720

Pith citing papers

Observation f3cf990d-6e1d-4ae0-8a88-9688e6a1c074 · inbound

Authority Inversion in LLM-Mediated Ubiquitous Systems: When Models Trust Users Over Sensors cites this paper.

Authority Inversion in LLM-Mediated Ubiquitous Systems: When Models Trust Users Over Sensors TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-01T09:25:40.046949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-01T09:20:01.288953Z digest=sha256:bb5ab0b932b6a0e1adf0bd97c4501ab794ea0b9d32c4a58b53db0d8b3d8818d9