Paper Citation Record · LEDGER

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration

As of 12 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.00458.

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

pith.paper-citation-record.v1
2608.00458 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T01:00:59.870718Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy32
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a679dc4f-34ae-497d-bde2-bba9947179ba · outbound

This paper cites Autogen: Enabling next-gen LLM applications via multi- agent conversations,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Autogen: Enabling next-gen LLM applications via multi- agent conversations,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.475421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 48ec73dd-de5b-4bd9-a152-dbabe4373292 · outbound

This paper cites MetaGPT: Meta programming for a multi-agent collaborative framework,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration MetaGPT: Meta programming for a multi-agent collaborative framework,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.458676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4996aa73-cd97-4eee-8df5-2e289b700843 · outbound

This paper cites Cut the crap: An economical communication pipeline for LLM-based multi-agent systems,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Cut the crap: An economical communication pipeline for LLM-based multi-agent systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.443565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2365e572-081a-41f3-9108-3bc97555dfa8 · outbound

This paper cites AgentDropout: Dynamic agent elimination for token-efficient and high- performance LLM-based multi-agent collaboration,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration AgentDropout: Dynamic agent elimination for token-efficient and high- performance LLM-based multi-agent collaboration,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.425859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dfa4fead-6ecf-424f-b9ef-5d655567b173 · outbound

This paper cites SafeSieve: From heuristics to experience in progressive pruning for LLM-based multi-agent communication,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration SafeSieve: From heuristics to experience in progressive pruning for LLM-based multi-agent communication,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.408354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f4f1483-c1c8-4435-ae5d-f991f64150b2 · outbound

This paper cites Improving multi-agent debate with sparse communication topology,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Improving multi-agent debate with sparse communication topology,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.392508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 62194ede-054f-48e0-a8ce-f6ba32915729 · outbound

This paper cites G-Designer: Architecting multi-agent communication topologies via graph neural networks,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration G-Designer: Architecting multi-agent communication topologies via graph neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.376131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f447b013-ca91-4f1e-b005-cbd7837d639b · outbound

This paper cites MasRouter: Learning to route LLMs for multi-agent systems,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration MasRouter: Learning to route LLMs for multi-agent systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.360858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ece4c3a4-bd70-4aa3-a9fe-9989c203c9b2 · outbound

This paper cites LLMLingua: Com- pressing prompts for accelerated inference of large language models,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration LLMLingua: Com- pressing prompts for accelerated inference of large language models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T01:00:59.761947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06c92ee-0214-4022-9015-970fd910f882 · outbound

This paper cites LongLLMLingua: Accelerating and enhancing LLMs in long context scenarios via prompt compression,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration LongLLMLingua: Accelerating and enhancing LLMs in long context scenarios via prompt compression,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.334595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 858081e0-f92e-40a9-81b2-7ae9eb213568 · outbound

This paper cites LLMLingua-2: Data distillation for efficient and faithful task-agnostic prompt compres- sion,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration LLMLingua-2: Data distillation for efficient and faithful task-agnostic prompt compres- sion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.320477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 062b4fd1-0e71-4718-b843-7f9e6c69d53e · outbound

This paper cites KVCOMM: Online cross-context KV- cache communication for efficient LLM-based multi-agent systems,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration KVCOMM: Online cross-context KV- cache communication for efficient LLM-based multi-agent systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.303075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b6afb4a-01bd-4759-8422-93371933e3f7 · outbound

This paper cites Q-KVComm: Efficient multi-agent communication via adaptive KV cache compression,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Q-KVComm: Efficient multi-agent communication via adaptive KV cache compression,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.285318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 325bc8ad-b143-4307-84cd-5a43305569d7 · outbound

This paper cites Evolving Idea Graphs with Learnable Edits-and-Commits for Multi-Agent Scientific Ideation.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Evolving Idea Graphs with Learnable Edits-and-Commits for Multi-Agent Scientific Ideation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T01:00:59.914720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f8d8409-b83c-4893-ac8c-83bf7f772b25 · outbound

This paper cites Multi-agent architecture search via agentic supernet,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Multi-agent architecture search via agentic supernet,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.265795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 733e4788-5dab-4bc0-9775-4c4bad21d4b4 · outbound

This paper cites S-DAG: A subject-based directed acyclic graph for multi-agent heterogeneous reasoning,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration S-DAG: A subject-based directed acyclic graph for multi-agent heterogeneous reasoning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.250124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dcb1f14d-0a13-4a06-ba6e-4baae8ae6b1e · outbound

This paper cites Learning multiagent com- munication with backpropagation,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Learning multiagent com- munication with backpropagation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.233604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c94f762b-674c-4011-9cc0-cc59c94e5d2a · outbound

This paper cites Learning to communicate with deep multi-agent reinforcement learning,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Learning to communicate with deep multi-agent reinforcement learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.218180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5fcce129-2a98-4c59-a011-827faab1586e · outbound

This paper cites TarMAC: Targeted multi-agent communication,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration TarMAC: Targeted multi-agent communication,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.201882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ebd4fabb-4ecb-4a56-b48c-f1bdec6c83f5 · outbound

This paper cites Learning when to communicate at scale in multiagent cooperative and competitive tasks,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Learning when to communicate at scale in multiagent cooperative and competitive tasks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.183186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5963666e-7e3e-4b24-b6e4-5db65f03ffde · outbound

This paper cites Learning to schedule communication in multi- agent reinforcement learning,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Learning to schedule communication in multi- agent reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.166218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8cefd0da-c6bf-46d3-b86e-ae7b156e8541 · outbound

This paper cites Deep learning enabled semantic communication systems,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Deep learning enabled semantic communication systems,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T01:00:59.818991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea75f2d1-0388-479b-8297-bbea22224830 · outbound

This paper cites Learning-based scheduling for information gathering with QoS constraints,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Learning-based scheduling for information gathering with QoS constraints,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.139418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9121e7f6-1d7a-4906-b10c-dd707fc368e0 · outbound

This paper cites AdaSem: Adaptive goal-oriented semantic communications for end-to-end camera relocalization,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration AdaSem: Adaptive goal-oriented semantic communications for end-to-end camera relocalization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.124427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fef12754-2d29-46ef-a1ef-035e8f35ade7 · outbound

This paper cites HALO: Semantic- aware distributed LLM inference in lossy edge network,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration HALO: Semantic- aware distributed LLM inference in lossy edge network,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.108561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05a833de-bd4b-4bef-bbd2-bf9175b38818 · outbound

This paper cites Semantic packet aggregation for token communication via genetic beam search,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Semantic packet aggregation for token communication via genetic beam search,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.091279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 227d514e-cc8e-48f5-aa63-8a527b0ba3dd · outbound

This paper cites Distributed inference with deep learning models across heterogeneous edge devices,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Distributed inference with deep learning models across heterogeneous edge devices,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.067732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6691f9f-29cc-4267-961b-7952ae5197e6 · outbound

This paper cites Titanic: Towards production federated learning with large language models,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Titanic: Towards production federated learning with large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.048142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 676351e3-5694-456d-adf7-d0900fc04485 · outbound

This paper cites Hybridflow: Resource-adaptive subtask routing for efficient edge-cloud LLM inference,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Hybridflow: Resource-adaptive subtask routing for efficient edge-cloud LLM inference,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.028350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb15a5d7-846b-451a-921e-852475ae41a0 · outbound

This paper cites Generative causal explanations for graph neural networks,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Generative causal explanations for graph neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:01:00.006459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ca89e67d-6b21-4e24-829b-8b3c68e2a02b · outbound

This paper cites Fact or fiction: Verifying scientific claims,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Fact or fiction: Verifying scientific claims,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:00:59.989037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7fc1dbd8-e8a5-4d20-82dd-c78fc07a09ad · outbound

This paper cites HotpotQA: A dataset for diverse, explainable multi- hop question answering,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration HotpotQA: A dataset for diverse, explainable multi- hop question answering,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:00:59.973146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4fbc4d86-830a-4736-8935-6fc54ba35ce7 · outbound

This paper cites FanOutQA: A multi-hop, multi-document question answering benchmark for large language models,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration FanOutQA: A multi-hop, multi-document question answering benchmark for large language models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:00:59.958130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d208a6e-2ffe-4ec6-98a5-620cc45400b2 · outbound

This paper cites Poisoning attacks on deep learning based wireless traffic prediction,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Poisoning attacks on deep learning based wireless traffic prediction,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:00:59.943509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7c0981f5-8236-4491-b79d-3f078a520d6f · outbound

This paper cites Medley: Predicting social trust in time-varying online social networks,.

BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration Medley: Predicting social trust in time-varying online social networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T01:00:59.930214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.