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Paper Citation Record · LEDGER

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2103.10360.

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

pith.paper-citation-record.v1
2103.10360 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:45:32.768266Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:35:46.085118Z

Reference resolution

0 of 0 outbound references displayed

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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 ee382f04-34f1-4bae-bc18-54fd109ba7e6 · inbound

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts cites this paper.

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-15T06:25:21.013670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T06:25:20.966510Z digest=sha256:c5719176d0037b9668f7dc07f7a63de0dca27d49ec5cb22e124d9bee48416d1b

Observation 721dee73-8d36-47e0-ad79-a15ec4e06c07 · inbound

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions cites this paper.

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-13T17:08:12.821845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T17:08:12.727773Z digest=sha256:99a076f211a2337f9c83ed4e0707fc65b6cf83d6f629d74b52662fae83f60c14

Observation 0f6e36c1-d041-40e0-a38c-e74bf1b91b45 · inbound

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices cites this paper.

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 35

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verified exact
arxiv_id, observed 2026-05-16T16:35:38.059819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T16:35:37.937462Z digest=sha256:4c75af0d2926377704dd8d578713ccba86bd79ad736eff443d0527c61be25569

Observation e5e6d3bf-1e68-42f1-af23-7a5a20ad2b4c · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T02:33:30.269407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T02:33:30.143907Z digest=sha256:fb5673189be8d799f6a9be0b5635fc04af5142191e982b3c84093be739eda5b5

Observation e415fc6f-9c52-4d37-ad88-4581e49ece8f · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 13

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verified exact
arxiv_id, observed 2026-05-12T19:41:44.489792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T19:41:44.263663Z digest=sha256:78b8eb1a0171f4d131a59fe7a13fbf6d5a0ffe10b3e61093ac22a3329fd0b5a2

Observation 548c76d3-7bd6-4735-b652-faf5b02c2518 · inbound

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:00:53.454048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T18:00:53.389420Z digest=sha256:baa38f3e888c598cff785541c4e6ca81c1c666650c5a9bea567095e564336cf1

Observation a4a6cfbf-a7a3-4bff-839d-1b2fdc4c28db · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 11

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metadata mismatch
arxiv_id, observed 2026-05-15T02:39:33.182136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:8913beefd04f404cb38e02dcbd09c992471a49d6175755c0280c54437ffdb8c2

Observation 24dbca9a-01d5-49c8-8a2c-69fcd1baa674 · inbound

LVBench: An Extreme Long Video Understanding Benchmark cites this paper.

LVBench: An Extreme Long Video Understanding Benchmark GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T11:55:30.160646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:55:30.048525Z digest=sha256:4c2a515e74b136e8ffa2f308eb8dfbbde1a8390d0482c0c0a3c7868bbdcbdcbd

Observation e42fb667-ce82-4385-aaac-c401a0eecee0 · inbound

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment cites this paper.

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:35:46.087907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T18:35:10.313449Z digest=sha256:df232c893094ce839dadca221b6b3d2b0ff25901e8c094fc6d3faab6b11cbbc3

Observation 87552633-0579-4ae9-8467-5fc6a44079e4 · inbound

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy cites this paper.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 7

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unresolved
no resolver link, observed 2026-08-08T21:59:59.131310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:59:59.131310Z digest=sha256:efd420cf125fcdd8cdbd264ce9988d679da64d9f2755b1d52b602ac279a58088

Observation 9fce844a-5f83-4b3e-b875-582be6dd2bcb · inbound

A Comprehensive Review of Protein Language Models cites this paper.

A Comprehensive Review of Protein Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 77

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unresolved
no resolver link, observed 2026-08-08T18:43:34.269002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:43:34.269002Z digest=sha256:c43e7af626368178171bcfacaa5526ed1d4308e9037fa1741f053a9f5087f450

Observation 9a255a77-acb0-4288-bba8-2ddfc9be5f11 · inbound

Enabling Autoregressive Models to Fill In Masked Tokens cites this paper.

Enabling Autoregressive Models to Fill In Masked Tokens GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T17:10:39.711429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:10:39.711429Z digest=sha256:32ae51767ed747a07d386c8e1c2db6a0eb811e5d946a295742c8bce7996c9061

Observation 87cdaa58-7d7e-4314-84f3-c95bf2b3b3f9 · inbound

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration cites this paper.

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T00:45:32.768266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:45:32.768266Z digest=sha256:3eac7979fcca4a1d7c38c48c6b55fe529593a615cc2c348ca916ff88dce37dd1

Observation 6b189118-284b-4bc1-9418-c7b4886f4fdf · inbound

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training cites this paper.

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:11.912850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:09:11.912850Z digest=sha256:d95f2b07e0feeb31bbcf642cdee50011b42a3f2efa677818f928f5b25010e624

Observation f34a3591-95b3-4b10-9b4e-d2b3dbe235ee · inbound

ALAS: An Automatic Latent Alignment Score for Audio Language Models cites this paper.

ALAS: An Automatic Latent Alignment Score for Audio Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:22.407437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:22.407437Z digest=sha256:1d73fe6fc0e4dff3ffc399b56214ae1afdcaef3a28ecefc02e41f0018a6d719c

Observation 86ec338a-3e4d-4714-87af-ef129b6f4daa · inbound

EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations cites this paper.

EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:23.709968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:23.709968Z digest=sha256:c9699308b65aae8ac40c3fe3370b23f9a0075cf387797d144d1c4fe6deaf66f4

Observation 1b50d77b-0a30-4f5b-845d-795734fca848 · inbound

Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques cites this paper.

Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:36.638733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:36.638733Z digest=sha256:7c1156816bde6ee9b0c284b8294822e97cdd12d0c6d25c329e2a39f8f505bd70

Observation 8fc69803-8954-4524-9d1b-ecd2ffca4258 · inbound

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation cites this paper.

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:54:50.590165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:54:50.590165Z digest=sha256:832918c4cbecb9b106d1d25c0e2d038f69ed1fcd405366859331e190bb0b8e69

Observation c21edc4c-12b9-433d-8d8a-ee778f72eee5 · inbound

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model cites this paper.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:51.181853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:51.181853Z digest=sha256:5ba31bfcf3312074f56b3e9c1798b474852b4707e5c40278b27c71221c7da8f2

Observation fbd8aa2e-d2d0-4d0f-a92e-f78e75d01d89 · inbound

Pipelined Decoder for Efficient Context-Aware Text Generation cites this paper.

Pipelined Decoder for Efficient Context-Aware Text Generation GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:36.349203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:49:36.349203Z digest=sha256:30b8d29d6f0a665d286de3760be78e0b2ec526daeef3a8b6b83899131b500e1a

Observation a330deb1-288b-476f-afc5-a2056ae8a6b8 · inbound

Large Language Model for Extracting Complex Contract Information in Industrial Scenes cites this paper.

Large Language Model for Extracting Complex Contract Information in Industrial Scenes GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T19:04:59.150177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:59.150177Z digest=sha256:e3290796103583ad66ea29154aa1b0601b8edf0d14ba7e63dc458ff8925f3d4e

Observation 8fef53c5-e5d5-4b98-9de7-582cb720414b · inbound

Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric cites this paper.

Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T20:05:55.270317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:05:55.270317Z digest=sha256:68c011294188aa389f436ee74affe5cfd2446be81dbdd6d5c6d885d2b08c5f16

Observation 9f66747f-fd68-420f-9172-2e11e84797c6 · inbound

Beyond the Textual: Generating Coherent Visual Options for MCQs cites this paper.

Beyond the Textual: Generating Coherent Visual Options for MCQs GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T16:17:37.592270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:17:37.592270Z digest=sha256:ed8959fb3aaad74ca0c11c56c9b4c7911fcb16ee6b5a453a5addb8b9507ec3cd

Observation c2ee59ea-f2ab-4fd4-87ac-6b3b38bb4ad7 · inbound

Constructing a Question-Answering Simulator through the Distillation of LLMs cites this paper.

Constructing a Question-Answering Simulator through the Distillation of LLMs GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T19:32:46.835896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:32:46.835896Z digest=sha256:d9e17ed8f055de4b6e3714408f602704d799956dfdf0de1f687ef83bc7c7d0a6

Observation 56f075c2-df61-4176-9343-c614ea78d39c · inbound

SeLaR: Selective Latent Reasoning in Large Language Models cites this paper.

SeLaR: Selective Latent Reasoning in Large Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:35:49.846266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T18:27:36.132030Z digest=sha256:de2cb17ca3464cd3b7dbc9a90fd8f9d1d7ca9e2f63c98fa26f351f820f1b5654

Observation 2038cddc-4cba-4caa-9889-b900bd0f879d · inbound

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels cites this paper.

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:24:21.488491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T10:21:05.219519Z digest=sha256:1445eb0797b3f2024a28d77a51584bccf7c57fadcd5f708144e47241b29d9ea5

Observation 42d58bbf-0468-4b17-b003-a1c1bf66fe07 · inbound

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts cites this paper.

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:11.194784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T09:24:27.977204Z digest=sha256:ec7ca313ae7bf30e264202db6956dc18cf8378e47dc30de05c2acb8b3808ae13

Observation 9f4f2771-024b-4a3b-a192-6187edb0aef7 · inbound

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts cites this paper.

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:33:50.542434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T23:32:48.878074Z digest=sha256:b1b5153baac4bce698f49315234f92b22d2b348c2aba7afa69eb2df49b1fdab9

Observation 1c95eb36-10bc-49d6-aadd-7115f0d7f024 · inbound

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing cites this paper.

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:26:30.221150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:52:33.076123Z digest=sha256:66d6d842868521658c40ce614b506a78dab071935d245d19ae914706ded1b9cc

Observation 4787068b-9bbb-47b8-ab4e-e7ae9e99e714 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:29:48.220645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:036bb9032cf801e2443d74f9587c5105acf3865142bd2d2eff5a72fc355175e5

Observation 917eec41-5b12-456a-a0d7-a0a1828968f7 · inbound

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation cites this paper.

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 5

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unresolved
no resolver link, observed 2026-08-01T02:14:09.645560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:14:09.645560Z digest=sha256:7d37efcd0ca433124c7d4f0e6c91497c642fc51d45599061924d7461d3725f01