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Paper Citation Record · LEDGER

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.09149.

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

pith.paper-citation-record.v1
2401.09149 v3

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 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:26:40.899331Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 61b4aab4-62b2-475d-8ee1-443922e1e0f6 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.356162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:7d33f456b01cd8d33a235e0b872b1d1f03a06be857d8daa381139a6cf9f93016

Observation 0f95091f-4942-4288-b96d-f2745c75f862 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.287109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:76701276b5e98069e5e39a672910c9b63c2dd1c749c8b2359a3b1704624366f1

Observation fa18bbc3-f7d0-45c5-afa0-a46305ab6548 · inbound

TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication cites this paper.

TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T23:26:40.899331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:26:40.899331Z digest=sha256:9e2c67d6aaffe722960b61cf03b86e0d1651de48fbe55b5306827760a3de68d8

Observation e3d21145-a208-4817-9d02-ecc69d364c03 · inbound

Automatically Planning Optimal Parallel Strategy for Large Language Models cites this paper.

Automatically Planning Optimal Parallel Strategy for Large Language Models InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:59:59.087684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:59:59.087684Z digest=sha256:b358e717665ba605a55d989adf08bdb8e8f3f2e94631b061f97627b78bdbd067

Observation c777bb48-c43a-44be-9197-3c0d73e0aa55 · inbound

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:41:08.230480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:41:07.991012Z digest=sha256:63762492bc7edc72ccdab052549041da7a8d4b857d3cea711a54d0e3872e5096

Observation 728ec1b9-2bb4-4e7f-8f22-4105612336b3 · inbound

HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware cites this paper.

HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:00:55.614417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T03:00:19.355357Z digest=sha256:80fec75ed6c908b6cc55acca7ad6714edc553e3a897065262ac855fc39a6c370