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Paper Citation Record · LEDGER

On the Utility of Learning about Humans for Human-AI Coordination

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1910.05789.

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

pith.paper-citation-record.v1
1910.05789 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:16:21.442723Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

91
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 212e1f14-7295-4d40-8222-e8b11c3ff011 · inbound

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma cites this paper.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma On the Utility of Learning about Humans for Human-AI Coordination

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T20:16:21.442723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:16:21.442723Z digest=sha256:c97eb11cd6210dd0c4d6bcca9c2a49aaf54e5997c7f752694fc26a2a87e84d2f

Observation 6ea3793e-392f-429d-8eff-62f628aa0024 · inbound

Learning to Cooperate with Humans using Generative Agents cites this paper.

Learning to Cooperate with Humans using Generative Agents On the Utility of Learning about Humans for Human-AI Coordination

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T15:48:52.876523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:48:52.876523Z digest=sha256:fcb20f50a4fa6d1fc3225e0e679f15fa00040075b4627a698041e4e417220b1a

Observation eb025f7c-7c7d-4364-b33b-2cf07afe7caf · inbound

HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version) cites this paper.

HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version) On the Utility of Learning about Humans for Human-AI Coordination

Reference 2020

Resolution
malformed identifier
no resolver link, observed 2026-08-10T21:44:24.104893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:24.104893Z digest=sha256:d11dcbf743c15040b16020a0b3aa10781a59ebb4e7c70c81a6f0913b5a38dee8

Observation f3242f02-021c-4f88-961e-d0361f63e8e7 · inbound

ColorGrid: A Multi-Agent Non-Stationary Environment for Goal Inference and Assistance cites this paper.

ColorGrid: A Multi-Agent Non-Stationary Environment for Goal Inference and Assistance On the Utility of Learning about Humans for Human-AI Coordination

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:26.752581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:26.752581Z digest=sha256:0f264dc9d6760b1908dddd194a11e5b3b3ae414b96bbc2b35a585abf1bc788ce

Observation 2f3d4c6c-25fa-41fe-9a37-07374b8caa28 · inbound

NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming cites this paper.

NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming On the Utility of Learning about Humans for Human-AI Coordination

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T22:27:32.761747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:27:32.761747Z digest=sha256:caee0b872ea866b7ea0206a63c2c476d591ab1007a80fcb5c76beacc15d9a4fb

Observation 8dab556e-8a11-4e64-8724-f4acd9205d66 · inbound

ConventionPlay: Capability-Limited Training for Robust Ad-Hoc Collaboration cites this paper.

ConventionPlay: Capability-Limited Training for Robust Ad-Hoc Collaboration On the Utility of Learning about Humans for Human-AI Coordination

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:44:30.014421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T03:44:03.584432Z digest=sha256:0837afc95774a4ec6596ebbc8932903d43ef5de1a7dcbb4092d8fadbcc0bd18d

Observation 8f1242aa-27c2-4bf0-82ff-fb187baa57e5 · inbound

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents cites this paper.

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents On the Utility of Learning about Humans for Human-AI Coordination

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:46:27.172264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T04:59:52.659739Z digest=sha256:dad0bd189893d12c44af0c483a00153e17986edfa1d16d955d6ca605bdc30f51

Observation 1e42efff-6d38-440f-98c0-5a18b024fc74 · inbound

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents cites this paper.

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents On the Utility of Learning about Humans for Human-AI Coordination

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:29:12.816229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T23:27:45.394730Z digest=sha256:3aeac636639a55faeaafe4699d3dae707190b32f2ba13a057f7edb7f7c50dbf0