Paper Citation Record · LEDGER

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams

As of 5 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2606.20629.

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

pith.paper-citation-record.v1
2606.20629 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:53:23.807636Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

47 of 47 outbound references displayed

verified exact8
verified fuzzy0
unresolved31
parse uncertain3
malformed identifier1
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79f712c4-249e-4ce6-9f04-198bfd3173ab · outbound

This paper cites Openai Codex: Cloud-based autonomous coding agent.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Openai Codex: Cloud-based autonomous coding agent

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc9c17d-2eac-409d-a1b0-43ce5f57d901 · outbound

This paper cites Composer 2 technical report.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Composer 2 technical report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d27378d-05b4-4d3d-9bf5-240ccc426374 · outbound

This paper cites Opencode: The open source AI coding agent.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Opencode: The open source AI coding agent

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bdee960-a5f5-4960-bbf8-d2fcea4b2416 · outbound

This paper cites AutoGen: Enabling next-gen LLM applications via multi-agent conversation,.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams AutoGen: Enabling next-gen LLM applications via multi-agent conversation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d4f805-31c3-4a6b-9bc8-9efadf469c38 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:02:50.052985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74ef4790-c49e-43ba-b078-6701a2b9083a · outbound

This paper cites Google agent development kit (ADK).

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Google agent development kit (ADK)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9801b847-80ed-49be-9844-c884feee7c18 · outbound

This paper cites Kimi agent swarm: Let 100 AI agents work for you.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Kimi agent swarm: Let 100 AI agents work for you

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f87bf670-e640-4976-ae6f-9f81856d93d2 · outbound

This paper cites How we built our multi-agent research system.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams How we built our multi-agent research system

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbfca96-8bae-4789-a4ec-d8ddc694872d · outbound

This paper cites Don’t build multi-agents.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Don’t build multi-agents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0186a31-29de-40ad-9746-0b6cb31069aa · outbound

This paper cites MCP Atlas leaderboard.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams MCP Atlas leaderboard

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23c27c9-44ab-4019-ac48-20d42f662b32 · outbound

This paper cites an unresolved cited work.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Unresolved cited work

Reference 12

Resolution: parse uncertain; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382a8914-f5c4-42c6-8e62-8cc41fe905fe · outbound

This paper cites Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models

Reference 13

Resolution: verified exact; doi, observed 2026-06-29T00:02:49.525429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0acdb22a-c0f2-4ce3-8898-d7aa38f196e8 · outbound

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

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams ReAct: Synergizing reasoning and acting in language models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb8693f-bd26-4b0b-b453-e1de5a6eebcf · outbound

This paper cites HuggingGPT: Solving AI tasks with chatGPT and its friends in hugging face.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams HuggingGPT: Solving AI tasks with chatGPT and its friends in hugging face

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb370eac-42bb-4c58-a99f-1ff26291d486 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Reflexion: Language agents with verbal reinforcement learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be87b34e-8949-466c-ba0e-b25461a7b94a · outbound

This paper cites An LLM compiler for parallel function calling.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams An LLM compiler for parallel function calling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c991e79d-4c2e-4cd9-a926-c4e7c2027a64 · outbound

This paper cites Plan-and-Act: Improving planning of agents for long-horizon tasks.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Plan-and-Act: Improving planning of agents for long-horizon tasks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fa93c7-4f3e-49a8-9a11-f9318c4e771d · outbound

This paper cites GitHub Copilot CLI v1.0.18: experimental critic agent for plan and complex im- plementation review.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams GitHub Copilot CLI v1.0.18: experimental critic agent for plan and complex im- plementation review

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04610ec5-11e7-4543-a63b-62ab62d3d130 · outbound

This paper cites Best practices for coding with agents: Plan mode.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Best practices for coding with agents: Plan mode

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05487bb4-58fc-4c57-bd5f-3410dd134ac5 · outbound

This paper cites State of AI 2025: An Empirical 100 Trillion Token Study.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams State of AI 2025: An Empirical 100 Trillion Token Study

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac343516-7019-4d0b-a3fe-cd527fc24f93 · outbound

This paper cites an unresolved cited work.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Unresolved cited work

Reference 22

Resolution: parse uncertain; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40952af5-02c5-45d4-a60c-9b9150df9633 · outbound

This paper cites M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.069860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a285b70b-ff9a-46c1-82ea-ff45d24b4ce5 · outbound

This paper cites Moe-cap: Benchmarking cost, accuracy and performance of sparse mixture-of-experts systems.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Moe-cap: Benchmarking cost, accuracy and performance of sparse mixture-of-experts systems

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.066968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 37d2a1d4-7ff3-466b-bbcd-43e43c8bd0d1 · outbound

This paper cites PEAR: Planner-executor agent robustness benchmark.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams PEAR: Planner-executor agent robustness benchmark

Reference 25

Resolution: verified exact; doi, observed 2026-06-29T00:02:49.525203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b891cf4e-43e4-4a48-b505-ab11c1b42822 · outbound

This paper cites How handshake saves 50% on LLM GPU costs with anyscale.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams How handshake saves 50% on LLM GPU costs with anyscale

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7071e0-f5cd-43b8-9d4a-9bb1b44f4dfa · outbound

This paper cites Making AI more accessible: Up to 80% cost savings with Meta Llama 3.3 on databricks.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Making AI more accessible: Up to 80% cost savings with Meta Llama 3.3 on databricks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9563a86-e384-43fb-870e-ff69fc102d85 · outbound

This paper cites The cost of dynamic reasoning: Demystifying ai agents and test- time scaling from an ai infrastructure perspective.arXiv preprint arXiv:2506.04301.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams The cost of dynamic reasoning: Demystifying ai agents and test- time scaling from an ai infrastructure perspective.arXiv preprint arXiv:2506.04301

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.073049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f060c76-b569-4c6a-a771-0bb554aa118f · outbound

This paper cites Narasimhan.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Narasimhan

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ca8191-5879-40c2-9331-230a41baadee · outbound

This paper cites MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.061568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation efea63a8-c9e3-4405-ad93-36f2b0168376 · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T00:02:50.055749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1df28599-1ff0-4e96-98b2-00aa73e1ed6f · outbound

This paper cites MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability,.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability,

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T00:02:50.058510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f6c13d0c-db70-4e94-b37e-ed83867c9dbc · outbound

This paper cites Holistic agent leaderboard: The missing infrastructure for AI agent evaluation.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Holistic agent leaderboard: The missing infrastructure for AI agent evaluation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57695622-0c5d-4469-b3e8-e9d457464d6c · outbound

This paper cites NEJM AI , volume =.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams NEJM AI , volume =

Reference 34

Resolution: metadata mismatch; doi, observed 2026-06-29T00:02:49.527723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b5794e43-06ca-49c4-a533-d089e912bb6a · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams FinanceBench: A New Benchmark for Financial Question Answering

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:02:50.064013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 068a262d-f5f6-4b92-aed7-3c60458ab4b9 · outbound

This paper cites an unresolved cited work.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5393f520-14c4-468f-861e-2b0a707602b7 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T00:02:50.075775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6897768f-2ea1-4fa5-a74a-50bbad87260a · outbound

This paper cites Oh my OpenAgent (omo): Multi-agent harness configurations for OpenCode.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Oh my OpenAgent (omo): Multi-agent harness configurations for OpenCode

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce56d822-67cf-40ca-b665-d632934a2ac9 · outbound

This paper cites Vast.ai pricing: live H100 marketplace listings.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Vast.ai pricing: live H100 marketplace listings

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8935f4-d5f2-4dbf-aa29-df6a849f34b9 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Self-refine: Iterative refinement with self-feedback

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ee93fe6-f065-4662-a4ef-4e9b1851563c · outbound

This paper cites Large Language Models cannot self-correct reasoning yet.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Large Language Models cannot self-correct reasoning yet

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786d98ae-98e6-40ba-84a2-15b4be693f15 · outbound

This paper cites H100 rental prices: A cloud cost comparison, October 2025.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams H100 rental prices: A cloud cost comparison, October 2025

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1524504b-894c-4739-9af8-88a9ef69e375 · outbound

This paper cites Hyperstack AI cloud pricing.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Hyperstack AI cloud pricing

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1676bfc7-dd4d-40e1-81fe-34af42d05e1f · outbound

This paper cites an unresolved cited work.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Unresolved cited work

Reference 44

Resolution: parse uncertain; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80685dd2-e723-494c-a15e-c96cada6a7a7 · outbound

This paper cites H100 rental prices: The $2 vs $98 gap explained, March 2026.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams H100 rental prices: The $2 vs $98 gap explained, March 2026

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e446f31d-a879-4aff-87c6-5c8e17569afb · outbound

This paper cites NVIDIA DGX H100 system datasheet (8×H100, list price reference).

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams NVIDIA DGX H100 system datasheet (8×H100, list price reference)

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df020f04-0bda-4168-b2f6-df4ca926ecdc · outbound

This paper cites Energy Information Administration.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Energy Information Administration

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81006fcd-081a-4964-8226-68793192ee70 · outbound

This paper cites role-criticality under a specified upgrade path.

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams role-criticality under a specified upgrade path

Reference 48

Resolution: malformed identifier; no resolver link, observed 2026-06-28T23:53:23.807636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.