Paper Citation Record · LEDGER

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2505.22375.

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

pith.paper-citation-record.v1
2505.22375 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:25:21.840888Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:57:34.122508Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 9102b078-e4f6-4a2c-8b02-318be14a04c4 · inbound

AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning cites this paper.

AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:35:28.899709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7144ebbf-21f4-429f-8b29-147911c7247b · inbound

Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression cites this paper.

Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:44:11.369936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c8be02d-a32e-4279-95f1-5b3314e97aa2 · inbound

Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression cites this paper.

Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:21.840888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d38136b5-81ba-42ad-9fe2-77d3e3d5247d · inbound

TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing cites this paper.

TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:16.483666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b795a87-fb6a-46f9-bf44-47b3f979804a · inbound

A-IO: Adaptive Inference Orchestration for Memory-Bound NPUs cites this paper.

A-IO: Adaptive Inference Orchestration for Memory-Bound NPUs Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:58.619850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f96131e7-40c6-409e-a4a9-6eea8519de71 · inbound

Universal Inclusion of Prescribed Primes in 3x3 Magic Squares cites this paper.

Universal Inclusion of Prescribed Primes in 3x3 Magic Squares Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T23:16:43.920480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c68e3af-341b-43fe-b212-6ac326243565 · inbound

Pangu-ACE: Adaptive Cascaded Experts for Educational Response Generation on EduBench cites this paper.

Pangu-ACE: Adaptive Cascaded Experts for Educational Response Generation on EduBench Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:18.533988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ae76c0a-6d45-4569-9a9f-adbb0f72b6c9 · inbound

AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse cites this paper.

AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:30.836374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ebfcfb0c-5db4-4edf-b438-34c95145772f · inbound

Near-Policy: Accelerating On-Policy Distillation via Asynchronous Generation and Selective Packing cites this paper.

Near-Policy: Accelerating On-Policy Distillation via Asynchronous Generation and Selective Packing Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:41:11.234190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 995282d1-5138-436a-831f-d8e527dcd738 · inbound

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models cites this paper.

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:23:58.541199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d659329b-dc4c-4171-b275-5354b8bdf368 · inbound

OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization cites this paper.

OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:21:12.722277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf08b0b9-2f6f-4d24-a527-dda933894760 · inbound

Ratio-Variance Regularized Policy Optimization cites this paper.

Ratio-Variance Regularized Policy Optimization Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:53:55.959578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 769a2d3d-c3ff-4891-93be-6f37c3a3784c · inbound

PrunePath: Towards Highly Structured Sparse Language Models cites this paper.

PrunePath: Towards Highly Structured Sparse Language Models Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:23:27.949725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7bb0a80-1753-4f32-961f-e4e8aa1d7043 · inbound

Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM Serving cites this paper.

Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM Serving Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.512824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1d210a94-253c-450c-a52a-1dd8fbbf458f · inbound

From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs cites this paper.

From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:01:07.765901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f10dd99b-7d63-4b0f-912b-976d063b21ef · inbound

COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices cites this paper.

COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:14:14.939071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4cf4824b-55ca-4259-b2ca-8ee8f7322139 · inbound

COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices cites this paper.

COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:35:39.901738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d0518ce9-d002-4400-bcb1-44e9d83a7900 · inbound

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation cites this paper.

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-10T19:57:34.123828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b71534e7-41bd-4cca-8509-364a963f3d02 · inbound

Behavioral Controllability of Agentic Models for Information Extraction: From Fixed Workflows to Reflective Agents cites this paper.

Behavioral Controllability of Agentic Models for Information Extraction: From Fixed Workflows to Reflective Agents Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:32:26.126919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5a4d63-ec41-4a89-bb3d-244eae3f580c · inbound

A Cybersecurity MLPS Large Language Model with Multi-Path Retrieval Fusion cites this paper.

A Cybersecurity MLPS Large Language Model with Multi-Path Retrieval Fusion Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T23:03:17.854167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.