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Paper Citation Record · LEDGER

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 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 27 of 27 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 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:11.912850Z

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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  • verified fuzzy0
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  • 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 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

Resolution
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

Resolution
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

Resolution
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

Resolution
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

Resolution
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:cb54a5fd46a7de973f1263bcd50d12e479fe165751a2037ffd4f4e5476028871

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 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

Resolution
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