Paper Citation Record · LEDGER

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

As of 5 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 5 inbound Pith citation observations for arXiv:2602.03955.

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

pith.paper-citation-record.v1
2602.03955 v3

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:53:27.938708Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:28:35.825366Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T08:17:45.041829Z

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 433c59a7-e2f0-4054-969c-77e282bc1524 · outbound

This paper cites write newline.

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T04:53:27.386668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8535792-f00c-48a5-8df7-ef36c5de62c9 · outbound

This paper cites @esa (Ref.

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent @esa (Ref

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T04:53:27.560848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7441852c-3609-4b8a-bf7e-9f1df8239e77 · outbound

This paper cites an unresolved cited work.

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T04:53:27.778018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4f7e54-ece6-4940-98d0-631390370b57 · outbound

This paper cites All models are distilled from Qwen3-32B.

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent All models are distilled from Qwen3-32B

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T04:53:27.938708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 72a49ce9-6933-4c1f-9b31-40428c6a11e2 · inbound

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning cites this paper.

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:04:24.176476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0b84240b-042a-4d42-964b-05297fcfd11e · inbound

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models cites this paper.

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:04:24.176476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54fb25f6-94c1-47db-bd32-ab54b844ee8d · inbound

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models cites this paper.

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-22T09:46:22.555101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3655241-b175-4922-b1c4-7005fd553c16 · inbound

IAPO: Input Attribution-Aware Policy Optimization for Tool Use in Small Multimodal Agents cites this paper.

IAPO: Input Attribution-Aware Policy Optimization for Tool Use in Small Multimodal Agents AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T08:17:45.043032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 977fd63e-fa4e-4a6f-a36c-391796080057 · inbound

Teacher Supervision over Representation Equivalence Classes cites this paper.

Teacher Supervision over Representation Equivalence Classes AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T01:28:35.825366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.