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Paper Citation Record · LEDGER

Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.02868.

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

pith.paper-citation-record.v1
2303.02868 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:32.388782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:42:43.532543Z

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 47627293-853b-410e-ab9d-4efd1514e583 · inbound

HunyuanVideo: A Systematic Framework For Large Video Generative Models cites this paper.

HunyuanVideo: A Systematic Framework For Large Video Generative Models Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:42:43.536547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T07:41:58.617477Z digest=sha256:6957b6668812b30d0b8166046f5199e2fd10d5c253cd2bd18e519066d996fe48

Observation 4244f784-58d3-4f9b-b7ce-5b136bfbc231 · inbound

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage cites this paper.

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:32.388782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:32.388782Z digest=sha256:d92ec056b9df6d42af9a02711daaf36bbba8c2c3890e281fd65a1c338b7148aa

Observation 8a12f758-da24-43c7-be5d-46f6984f79e3 · inbound

From PowerSGD to PowerSGD+: Low-Rank Gradient Compression for Distributed Optimization with Convergence Guarantees cites this paper.

From PowerSGD to PowerSGD+: Low-Rank Gradient Compression for Distributed Optimization with Convergence Guarantees Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T17:01:42.051031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:01:42.051031Z digest=sha256:b751b544b1914b23df1ab22f59c3bb1f1af04d216fd7e781668969e7bcd27f3e

Observation 4f2b2476-db26-4346-bce0-051d0d8c7c0f · inbound

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation cites this paper.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.128449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T16:59:06.735742Z digest=sha256:c519f68727045ae71559ea9ad42dff4807f168ecfc8f9ef810a381b487a7b700