Pith. sign in

Paper Citation Record · LEDGER

PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2303.10845.

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

pith.paper-citation-record.v1
2303.10845 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:27:29.009428Z

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

7
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 4ba9a870-4e0e-4131-8415-b4d30dcb7e32 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:40.211139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:60407e1b7e8b544615e8cb5b7633a6ff09f39375a2e2e160ebc2c8d747806b57

Observation 1310ef44-2d01-4585-83d4-f4e97129c305 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.329561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:2c33ec32143b1b201b0ab34865e1ea7b24a2c4d691af30171a1b26f9e5fc4333

Observation ae70ef80-b5ef-446b-aa35-51beaf83df88 · inbound

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models cites this paper.

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:50:08.528385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T22:50:06.399707Z digest=sha256:9767c5ac9f6ae5d11d2c463fd3e1f521496350eff3b3e074c3a6aee3d1024b0b

Observation 5b3d5063-e5c5-41b3-af68-1e9a91b4b261 · inbound

DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection cites this paper.

DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T00:27:29.009428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:27:29.009428Z digest=sha256:48cda845db5fe615f3ba513c20df16de75c329dbba8fd0d35733b728f10e4cab

Observation fcb41f25-646a-4bd6-8a09-59f9e468d634 · inbound

StackingNet: Collective Inference Across Independent AI Foundation Models cites this paper.

StackingNet: Collective Inference Across Independent AI Foundation Models PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T23:31:21.770053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:31:21.770053Z digest=sha256:3bcba4a30336f7a78cd166d9880ed30c57714596469c18894257bc98de9def9b

Observation cbd4f9fb-7741-40cf-aea3-80b4d0ebeea7 · inbound

Universal Pansharpening Model cites this paper.

Universal Pansharpening Model PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T19:05:48.571719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:05:48.571719Z digest=sha256:99d300585be314ed1e82e70bfba6d16153c0f96900d2df19389c424e6aceefa0

Observation b03a233e-6da8-4cee-9555-2f1996a466da · inbound

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision cites this paper.

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:50.396685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:18:21.554507Z digest=sha256:3c183eb3ff66831e539791e599ac11ed8da2c3229a511a9ecd3e90134237e52a

Observation 09f36bea-bda9-4566-8d71-d9d8006526de · inbound

SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning cites this paper.

SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:27:36.456117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T02:26:55.896058Z digest=sha256:81d46d9ad7abd78100891f4bc0c9e1767d9b046f02c2fca5757e4323747a686c

Observation 7a638aa8-a87a-47df-a28f-c152466447ba · inbound

HetCCL: Enabling Collective Communication For Mixed-Vendor Heterogeneous Clusters cites this paper.

HetCCL: Enabling Collective Communication For Mixed-Vendor Heterogeneous Clusters PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:22:37.223894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T20:16:40.966177Z digest=sha256:0bc583d4ef534da2ce07189ebe08401cff2c208da3e70b587624a44dd0967396

Observation ffd7830d-380b-4942-badd-80fed5cdca26 · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 237

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:42.392700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:42.392700Z digest=sha256:71617631e43323a1ad9f64202c84ae23923a4754b6779528b07111567237ed50