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Paper Citation Record · LEDGER

LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2004.12817.

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

pith.paper-citation-record.v1
2004.12817 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:28.706911Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.650291Z

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 408734f5-2458-4f1b-bf9e-bcd27110f98f · inbound

MiniLLM: On-Policy Distillation of Large Language Models cites this paper.

MiniLLM: On-Policy Distillation of Large Language Models LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T17:40:27.956234Z

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=2026-05-12T17:40:27.827493Z digest=sha256:623952e7c1c10a6681a2727c4aca0e2c58a9cd84aab9effe6781595b5cb7c1a4

Observation 16d42b5c-80f7-4e11-82ae-b23db5ccf6dd · inbound

Logits-Based Finetuning cites this paper.

Logits-Based Finetuning LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:28.706911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:28.706911Z digest=sha256:804f29e339369cee34b5475751ff2cb9c3b203721ad00545475b193068eb58a1

Observation 7089e6b7-bc12-4b2e-8f50-9688a4e0189d · inbound

Hybrid Policy Distillation for LLMs cites this paper.

Hybrid Policy Distillation for LLMs LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:54:49.092475Z

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=arxiv_source observed=2026-05-10T00:41:21.984760Z digest=sha256:7346fe07487ca6aca73c5da76248022f72189c0467aba5880e404d2b9f53f250

Observation 8f9d05d2-87a8-49b0-a6fe-440134beccbf · inbound

Curriculum Learning-Guided Progressive Distillation in Large Language Models cites this paper.

Curriculum Learning-Guided Progressive Distillation in Large Language Models LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:57:05.785712Z

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=2026-05-13T01:53:21.920498Z digest=sha256:46fe7ee267390c7c9914f025c23fe5c5b7745442b769eabebd1674b6fd3ed646

Observation 9d5ff2b0-5bfb-4573-9fc1-64411b844f90 · inbound

PRIDE: Privileged Information-enhanced Distillation for Empathetic Dialogue Generation cites this paper.

PRIDE: Privileged Information-enhanced Distillation for Empathetic Dialogue Generation LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:39:45.651984Z

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=2026-06-26T08:37:10.149519Z digest=sha256:ebe27938dc50b4e188a30ef5e5f89972ec78990f790b14ac5f17ad145ca14b1b

Observation b1f03f72-ad86-4a68-8863-89f6751d7e3b · inbound

WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA cites this paper.

WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-06T00:41:02.012291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:41:02.012291Z digest=sha256:82a25bf8a78c64b9d7a65d3a085c54dc59b5937ca2a23e7232b50f5a16f46976