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Paper Citation Record · LEDGER

Deep Mutual Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1706.00384.

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

pith.paper-citation-record.v1
1706.00384 v1

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:46:38.382756Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T18:03:10.000612Z

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 7edb43d7-645b-4710-abbb-b4e6da56ec95 · inbound

On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.

On Accelerating Edge AI: Optimizing Resource-Constrained Environments Deep Mutual Learning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T14:46:38.382756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:46:38.382756Z digest=sha256:cfb8988309126e71221c2e4311a2022951310295ce36d8b5239ade227142dbf0

Observation 5ff143a9-9214-444e-9749-7303d8862c1c · inbound

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs cites this paper.

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs Deep Mutual Learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:41.298184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:41.298184Z digest=sha256:9a49d2de0902de696d353d9a8323ab1f06d645e95d53d16ca1487eb6562be5f6

Observation 7fffb522-a4fd-4c52-9b40-b71631754bf1 · inbound

Teach Me to Trick: Exploring Adversarial Transferability via Knowledge Distillation cites this paper.

Teach Me to Trick: Exploring Adversarial Transferability via Knowledge Distillation Deep Mutual Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T12:14:57.307927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:14:57.307927Z digest=sha256:2b7e30617bc06772a7d8125ced649f57b30cc5c286b8b52023639df1b05188e3

Observation e5e03acf-529b-41d4-aebe-3efc071f8944 · inbound

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework cites this paper.

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework Deep Mutual Learning

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T07:25:12.511050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T07:22:24.713032Z digest=sha256:c5bcaa92b86df6183b7b8759b12621bd4cf94a2548c650dbe52665226f40ee28

Observation 75dda406-c934-4ce0-b25f-b2d8f68f976f · inbound

On the Generalization of Knowledge Distillation: An Information-Theoretic View cites this paper.

On the Generalization of Knowledge Distillation: An Information-Theoretic View Deep Mutual Learning

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T18:03:10.002445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:03:07.434428Z digest=sha256:b1e329ac98f4bf12b2de166696ab19e10444399e16da87edfb27241517ab4617