Pith. sign in

Paper Citation Record · LEDGER

Learning Implicit Causal World Models from Multi-Agent Demonstrations

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.26336.

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

pith.paper-citation-record.v1
2607.26336 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:17:31.925071Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved11
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 309cb3e3-66ce-48b1-b89f-e8cc017b3e44 · outbound

This paper cites We assumeu env ⊥ ⊥uintent.

Learning Implicit Causal World Models from Multi-Agent Demonstrations We assumeu env ⊥ ⊥uintent

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:31.133141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.133141Z digest=sha256:c497cec0a45f85f863d2add75ce78e0f93e8b10542024282f1799020cad360af

Observation c906952f-640e-4415-95bb-6480153cf995 · outbound

This paper cites Contrastive Learning of Structured World Models.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Contrastive Learning of Structured World Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:30.747273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:30.747273Z digest=sha256:eae31cac253ddecc1450b30fe65a5032e83480129b23749f23381ca76e376f73

Observation 71cb66b9-a405-4827-92be-55c910dd33bb · outbound

This paper cites an unresolved cited work.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:31.204046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.204046Z digest=sha256:1e28173f28e7f3dbfef32fddaec3734fca9bbd025a2e99fb8399c570b7073029

Observation d36c408d-3b41-45ba-a560-ca70df08e3a7 · outbound

This paper cites an unresolved cited work.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:31.800785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.800785Z digest=sha256:7107dd6be48c3c77337e7d589d9889b10f0015393e532146a33e4d4fc9e9abe9

Observation 4c08bd59-737f-4148-b084-ef106454b6fb · outbound

This paper cites fair experiment.

Learning Implicit Causal World Models from Multi-Agent Demonstrations fair experiment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:31.136092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.136092Z digest=sha256:f3642f15baf41011121b3771ce4906717a1d78c2d9fa9577e06aeec074510af5

Observation 4dc29291-2d2b-4227-9cf9-6af76f4eee09 · outbound

This paper cites an unresolved cited work.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:31.509113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.509113Z digest=sha256:0880e9f029254d087549e162670152bfd5b396a0a6fd79f103ae8b900a2ff76d

Observation b14f352d-a4ec-401a-980c-b00e8d0ab9ad · outbound

This paper cites an unresolved cited work.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Unresolved cited work

Reference 12

Resolution
parse uncertain
no resolver link, observed 2026-08-01T00:17:31.620793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.620793Z digest=sha256:c7fafc88abd754b9729b4c2991ae5cc3f0da922f72c46ba26e37b5de0acb033a

Observation 299a25d7-e8c5-47cb-8364-253b584aa5f1 · outbound

This paper cites hardness.

Learning Implicit Causal World Models from Multi-Agent Demonstrations hardness

Reference 14

Resolution
malformed identifier
no resolver link, observed 2026-08-01T00:17:31.925071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.925071Z digest=sha256:992174469a4ba48bbcbca23606d7e96f61ee8c7364268401407bd4e0fc2ef827

Observation 5b13f183-1965-4a41-b46e-873e491b79df · outbound

This paper cites Causal discovery for time series with latent confounders.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Causal discovery for time series with latent confounders

Reference 1988

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:30.921197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:30.921197Z digest=sha256:452f95ddc9b011884dc5b53825da90c67dd6342426917ff3ca3b087fa9eb6da1

Observation e5407665-e18d-4fa6-acf8-2df032da32e8 · outbound

This paper cites Neural Causal Models for Counterfactual Identification and Estimation.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Neural Causal Models for Counterfactual Identification and Estimation

Reference 1990

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:31.089141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.089141Z digest=sha256:337fe4956f9e6791359f8bb5a02278d47460c332cc4fc7f7f6eb1d8004bc7354

Observation 532562c6-8829-401b-b79e-2fdbc549edeb · outbound

This paper cites Invariant Risk Minimization.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Invariant Risk Minimization

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:30.676080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:30.676080Z digest=sha256:4ec6f6f6b5401e247d469c7dca0371e1727478a477cb3a783919780e9d7ac038

Observation 3c1296d9-1216-4d05-84ae-7424d195e9ae · outbound

This paper cites Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:30.828734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:30.828734Z digest=sha256:bcc30c29aed3009c02071b635e27677e5ceeab5b491a9a3792fd00fd43864fd1

Observation 84a21904-094c-4bf8-a0c4-2a7be0fe17d2 · outbound

This paper cites URLhttps://doi.org/10.1109/TNN.2008.

Learning Implicit Causal World Models from Multi-Agent Demonstrations URLhttps://doi.org/10.1109/TNN.2008

Reference 9227

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:31.003014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.003014Z digest=sha256:6611a8724741451bf80d2505cb938451f73d8cfc3a50ced70da9190a272488cd

Pith citing papers

No inbound Pith citation observations are available.