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Paper Citation Record · LEDGER

Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.15127.

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

pith.paper-citation-record.v1
2310.15127 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:15:54.726162Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:07:24.177350Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f9986282-18c9-4d78-8073-7dca55c08df2 · inbound

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures cites this paper.

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-05T20:15:54.726162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:15:54.726162Z digest=sha256:15c50040021c014f29a50b1642b1f70410d22f7525a59261c36608511f529802

Observation 9679782e-38f6-4b5a-9b53-0520738eb0e9 · inbound

Efficient Skill Grounding via Code Refactoring with Small Language Models cites this paper.

Efficient Skill Grounding via Code Refactoring with Small Language Models Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:24.178771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T19:55:20.212198Z digest=sha256:00c4540b828686576e35419187f12b9a10232484aad011e79c5d4ca25b16c878

Observation fc410cce-26f3-4969-bd3f-04cfdc075d06 · inbound

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents cites this paper.

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T05:30:35.775405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T05:26:48.431739Z digest=sha256:f13a759c6599ecfbfd1d2d7d4c0e8f3c158a7a045cbc6397bb02911c5b6015da

Observation be78c3d4-ee2f-4cd7-975f-9afb3a568ab9 · inbound

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents cites this paper.

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T11:44:04.517657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:44:04.517657Z digest=sha256:933f2912f15c1f659ddfc54f77d9b1553ae7a3edbda1c3677bdd456aafadc468

Observation 5baeeff0-e11b-4ecc-9d3b-ded02f2271be · inbound

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization cites this paper.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-30T15:27:16.736013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:27:16.736013Z digest=sha256:55d9201bb2d2103a5120cb478001950ac7c824d3301b398265673a2e5fce8c1b