Paper Citation Record · LEDGER

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2606.19812.

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

pith.paper-citation-record.v1
2606.19812 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:51:16.517558Z

measured 20 of 20 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

20 of 20 outbound references displayed

verified exact7
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 604cb087-92ce-4d57-81b7-e9af90d4a35c · outbound

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

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery ReAct: Synergizing reasoning and acting in language models,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21404783-b98c-4574-b742-fc0872ab3b85 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Training language models to follow instructions with human feedback,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88010eb4-8638-441b-8540-b5f1ee8fbbdc · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaab2100-3127-44f0-9b5c-8f5a0fd617f9 · outbound

This paper cites Selective classification for deep neural networks,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Selective classification for deep neural networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a8dcc2-77f8-4ba7-a4ff-f0523aa8627c · outbound

This paper cites Dropout as a Bayesian approximation: Representing model uncertainty in deep learning,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Dropout as a Bayesian approximation: Representing model uncertainty in deep learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcdbae44-20ff-48df-aea7-e6d6337724f3 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afdc6bd0-533f-49b9-a273-1a9af9a89f36 · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big?.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery On the dangers of stochastic parrots: Can language models be too big?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a2bceeb-8b52-4317-ac6b-a498ea8825d7 · outbound

This paper cites ToolBEHonest: A multi-level hallucination diagnostic benchmark for tool-augmented large language models,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery ToolBEHonest: A multi-level hallucination diagnostic benchmark for tool-augmented large language models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5672a82-dbca-4aed-928b-928237dd25ab · outbound

This paper cites Human-centered artificial intelligence: Reliable, safe & trustworthy,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Human-centered artificial intelligence: Reliable, safe & trustworthy,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b61722-6d1a-4754-beaa-e14d6656a963 · outbound

This paper cites SPA-RL: Reinforcing LLM agents via stepwise progress attribution,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery SPA-RL: Reinforcing LLM agents via stepwise progress attribution,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec899c7d-e8dc-4e9b-9825-d98da4b7fd84 · outbound

This paper cites SelfCheckGPT: Zero- resource black-box hallucination detection for generative large lan- guage models,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery SelfCheckGPT: Zero- resource black-box hallucination detection for generative large lan- guage models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7779863-2dd6-4362-81b7-1d69f7694bda · outbound

This paper cites On calibration of modern neural networks,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery On calibration of modern neural networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c319f8e-e303-4d09-bd7c-11854f388672 · outbound

This paper cites Fault-tolerant sandboxing for ai coding agents: A trans- actional approach to safe autonomous execution,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Fault-tolerant sandboxing for ai coding agents: A trans- actional approach to safe autonomous execution,

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:29.947345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 482c5d95-6ecc-42df-bb27-a3f74da0ce9d · outbound

This paper cites ORCHID: Or- chestrated retrieval-augmented classification with human-in-the-loop intelligent decision-making for high-risk property,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery ORCHID: Or- chestrated retrieval-augmented classification with human-in-the-loop intelligent decision-making for high-risk property,

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:29.943690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 140b5aa1-32a7-4c0c-91bc-266db8c56f98 · outbound

This paper cites Toolsafe: Enhancing tool invocation safety of llm-based agents via proactive step-level guardrail and feedback.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Toolsafe: Enhancing tool invocation safety of llm-based agents via proactive step-level guardrail and feedback

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:29.951755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02d5fd33-c4af-4fd6-ac42-fceec617c91e · outbound

This paper cites TAPE: Tool-guided adaptive planning and constrained execution in language model agents,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery TAPE: Tool-guided adaptive planning and constrained execution in language model agents,

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:29.959737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b4ffbef-8935-4bb0-8c8d-c1cc8fd32e0a · outbound

This paper cites KAIJU: An Executive Kernel for Intent-Gated Execution of LLM Agents.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery KAIJU: An Executive Kernel for Intent-Gated Execution of LLM Agents

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:39:29.956026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a12ed90-6737-4193-bab7-0c20847d9a3b · outbound

This paper cites STCALIR: Semi-synthetic test collection for Algerian legal information retrieval,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery STCALIR: Semi-synthetic test collection for Algerian legal information retrieval,

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:29.967596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ede2c01e-f8d7-42a2-a055-777d82659577 · outbound

This paper cites Beyond Fluency: Toward Reliable Trajectories in Agentic IR.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Beyond Fluency: Toward Reliable Trajectories in Agentic IR

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:39:29.963572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea99befa-5c09-419e-a0ee-6b079882cafc · outbound

This paper cites Multi- agent video recommenders: Evolution, patterns, and open challenges,.

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery Multi- agent video recommenders: Evolution, patterns, and open challenges,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T17:51:16.517558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.