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Paper Citation Record · LEDGER

A Primer on the Inner Workings of Transformer-based Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2405.00208.

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

pith.paper-citation-record.v1
2405.00208 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:41:31.340644Z

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

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External citation measurements

9
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 3724ba54-01c3-42c5-9171-8a6060021378 · inbound

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations cites this paper.

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations A Primer on the Inner Workings of Transformer-based Language Models

Reference 96

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Observation 4c290d7f-f079-48b8-848c-2dcec4755adb · inbound

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval cites this paper.

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval A Primer on the Inner Workings of Transformer-based Language Models

Reference 12

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source=arxiv_source observed=2026-08-10T14:32:50.043146Z digest=sha256:8c7d3fe72d030ae0148d0c7ca71e37d23a0a9c98ca563b7b8d60e91336b0c14f

Observation cd891a5e-fdcc-4edc-aee8-29bd0f28be5b · inbound

Localizing Persona Representations in LLMs cites this paper.

Localizing Persona Representations in LLMs A Primer on the Inner Workings of Transformer-based Language Models

Reference 31

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Observation ff9321fb-f648-45d5-911f-03a2f7b310df · inbound

COMPKE: Complex Question Answering under Knowledge Editing cites this paper.

COMPKE: Complex Question Answering under Knowledge Editing A Primer on the Inner Workings of Transformer-based Language Models

Reference 17

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source=arxiv_source observed=2026-08-07T12:00:20.644602Z digest=sha256:4f7749eeaa6c632641fba78abcec24bcd8d8d9560d7d573fa31d61a1a454ac09

Observation 5d965c15-1fd4-4e84-95fd-5844c1471ab9 · inbound

Different Speech Translation Models Encode and Translate Speaker Gender Differently cites this paper.

Different Speech Translation Models Encode and Translate Speaker Gender Differently A Primer on the Inner Workings of Transformer-based Language Models

Reference 22

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source=arxiv_source observed=2026-08-07T11:32:41.614831Z digest=sha256:5cc5ca9f50976deed8ba1fa82636f11cbe73269a18eb39fb0f60b15a82b40cdd

Observation a7746e88-e267-4a16-ab21-a2c6f35cccb0 · inbound

REAL: Reading Out Transformer Activations for Precise Localization in Language Model Steering cites this paper.

REAL: Reading Out Transformer Activations for Precise Localization in Language Model Steering A Primer on the Inner Workings of Transformer-based Language Models

Reference 17

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source=pdf_text observed=2026-08-07T05:19:30.100608Z digest=sha256:b7ac06d45924ee433a9548a3a747433adc28645ecb7e4239d759b2512bb95c29

Observation d039dfbb-1351-4c27-869b-4fa661590064 · inbound

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models cites this paper.

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models A Primer on the Inner Workings of Transformer-based Language Models

Reference 8

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source=arxiv_source observed=2026-08-07T05:27:08.613581Z digest=sha256:073bd65a0b48344f023469a809ca334a7b37db7313d3584b7f195684ea9264c4

Observation 969dbf6a-d78c-4991-b7cc-d00e476c2663 · inbound

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data cites this paper.

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data A Primer on the Inner Workings of Transformer-based Language Models

Reference 18

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source=arxiv_source observed=2026-08-06T21:26:12.059928Z digest=sha256:4501b69f975c11481ee7c4fae9dd8e8dcf284d85bfbc3ed94f3c036f6f2645e3

Observation a7107925-66e7-4d5e-939b-6ac8c480cc71 · inbound

Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models cites this paper.

Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models A Primer on the Inner Workings of Transformer-based Language Models

Reference 28

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source=pdf_text observed=2026-08-06T19:53:37.628279Z digest=sha256:341f13d2276a67496f50482758fef85e70742eec25f81570a3d8e7a91211fbda

Observation 33e50dca-6d09-4305-be81-0a65a7de62a0 · inbound

InTraVisTo: Inside Transformer Visualisation Tool cites this paper.

InTraVisTo: Inside Transformer Visualisation Tool A Primer on the Inner Workings of Transformer-based Language Models

Reference 14

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source=pdf_text observed=2026-08-06T16:19:52.229487Z digest=sha256:dbeb2538cb1a26e94cf9c615b79093bd96389fdde0bc1a40bb8cc1e67eff5ca1

Observation 6360b106-6c69-4543-bebd-268732f5067c · inbound

Cross-Attention is Half Explanation in Speech-to-Text Models cites this paper.

Cross-Attention is Half Explanation in Speech-to-Text Models A Primer on the Inner Workings of Transformer-based Language Models

Reference 23

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source=arxiv_source observed=2026-08-04T15:52:06.284744Z digest=sha256:10e103237b621a58fe0a3a0ee6a562d51e05db373ad3009eb25a9880d3acd590

Observation ae9637fe-1be0-4efa-9434-4a352bf193e0 · inbound

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework cites this paper.

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework A Primer on the Inner Workings of Transformer-based Language Models

Reference 13

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arxiv_id, observed 2026-05-18T18:16:43.774882Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T18:13:01.662828Z digest=sha256:cbfdc92c01de383c4e6b602ba82187c061fa25770ac786c131cc7b8ef1a15d72

Observation 4dd6da5a-0fac-4782-889b-93e2cb759d3b · inbound

Deductive Logic in Language Models: Horizontal vs Vertical Reasoning cites this paper.

Deductive Logic in Language Models: Horizontal vs Vertical Reasoning A Primer on the Inner Workings of Transformer-based Language Models

Reference 8

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source=pdf_text observed=2026-08-04T10:40:26.442823Z digest=sha256:b4510feda6d462c5c005d5fa1e5c7368f7837e88f2a7d5312ced6875700c524e

Observation f1af8c93-d940-408c-9025-3865fb76a609 · inbound

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations cites this paper.

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations A Primer on the Inner Workings of Transformer-based Language Models

Reference 62

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source=pdf_text observed=2026-08-04T09:08:54.428626Z digest=sha256:4e8f656a240bb6864bb0c0312c6017dd4dafa65894d3082c9f42b9a7a77b65b1

Observation 11c8130f-c5be-4e8d-8cab-00bd528aee42 · inbound

Unifying Learning Dynamics and Generalization in Transformers Scaling Law cites this paper.

Unifying Learning Dynamics and Generalization in Transformers Scaling Law A Primer on the Inner Workings of Transformer-based Language Models

Reference 25

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Observation f53c37eb-ce5e-4382-a38d-c96bc8906a9a · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models A Primer on the Inner Workings of Transformer-based Language Models

Reference 72

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arxiv_id, observed 2026-05-16T12:40:54.748973Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 09abdd37-4ecf-4c6e-83e9-0eb4e5e2abb6 · inbound

MICE: Minimal Interaction Cross-Encoders for efficient Re-ranking cites this paper.

MICE: Minimal Interaction Cross-Encoders for efficient Re-ranking A Primer on the Inner Workings of Transformer-based Language Models

Reference 2024

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Observation 026ccf86-4225-4276-8128-7c829353877f · inbound

Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models cites this paper.

Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models A Primer on the Inner Workings of Transformer-based Language Models

Reference 47

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arxiv_id, observed 2026-05-21T12:50:09.275117Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 10668668-0420-40c4-98e8-0eed8aa1a1cf · inbound

In-Context Learning in Speech Language Models: Analyzing the Role of Acoustic Features, Linguistic Structure, and Induction Heads cites this paper.

In-Context Learning in Speech Language Models: Analyzing the Role of Acoustic Features, Linguistic Structure, and Induction Heads A Primer on the Inner Workings of Transformer-based Language Models

Reference 6

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arxiv_id, observed 2026-05-10T22:05:49.019611Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 83663496-d765-4e1c-a429-25342bb7063c · inbound

ConceptTracer: Interactive Analysis of Concept Saliency and Selectivity in Neural Representations cites this paper.

ConceptTracer: Interactive Analysis of Concept Saliency and Selectivity in Neural Representations A Primer on the Inner Workings of Transformer-based Language Models

Reference 5

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arxiv_id, observed 2026-05-10T23:20:51.372895Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 25a79f0f-dd89-4954-bebd-aff1becd1fab · inbound

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks cites this paper.

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks A Primer on the Inner Workings of Transformer-based Language Models

Reference 22

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arxiv_id, observed 2026-05-10T09:38:42.816884Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c562ffef-6152-4ae4-b75a-74d28d7c9c9d · inbound

Are LLMs Ready for Conflict Monitoring? Empirical Evidence from West Africa cites this paper.

Are LLMs Ready for Conflict Monitoring? Empirical Evidence from West Africa A Primer on the Inner Workings of Transformer-based Language Models

Reference 75

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arxiv_id, observed 2026-05-11T17:11:18.021348Z

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Observation 6cc7a763-e24b-4086-b8fd-81fcb49e69ec · inbound

Data-driven Circuit Discovery for Interpretability of Language Models cites this paper.

Data-driven Circuit Discovery for Interpretability of Language Models A Primer on the Inner Workings of Transformer-based Language Models

Reference 10

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arxiv_id, observed 2026-05-12T02:21:16.662417Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3ee19c8b-1c38-4afc-a82f-f9003397b20b · inbound

Enabling Performant and Flexible Model-Internal Observability for LLM Inference cites this paper.

Enabling Performant and Flexible Model-Internal Observability for LLM Inference A Primer on the Inner Workings of Transformer-based Language Models

Reference 9

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arxiv_id, observed 2026-05-13T07:17:28.083335Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f714c5e2-0d39-4939-a70c-b660c5e12355 · inbound

Instructions Shape Production of Language, not Processing cites this paper.

Instructions Shape Production of Language, not Processing A Primer on the Inner Workings of Transformer-based Language Models

Reference 138

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arxiv_id, observed 2026-05-13T03:12:09.296748Z

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Observation d957face-3a0b-471f-9aa8-effa8058e3e4 · inbound

Instructions Shape Production of Language, not Processing cites this paper.

Instructions Shape Production of Language, not Processing A Primer on the Inner Workings of Transformer-based Language Models

Reference 138

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arxiv_id, observed 2026-05-14T21:02:58.204816Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T21:02:02.135970Z digest=sha256:c7f89d1ab33c9823407f1e92ff9ffb5df2276504747746ef1641d12be7b59681

Observation d20cb649-d16e-429e-8140-99aecf524e17 · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space A Primer on the Inner Workings of Transformer-based Language Models

Reference 74

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arxiv_id, observed 2026-05-13T05:22:18.929668Z

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Observation 676e7e43-ddd8-49e9-8fcd-52512a69dd4c · inbound

Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity cites this paper.

Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity A Primer on the Inner Workings of Transformer-based Language Models

Reference 54

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arxiv_id, observed 2026-05-15T05:09:44.376483Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T05:05:01.099084Z digest=sha256:b21268db2584081350454f7b9bb9576bf44373a9b932f3f195bb33e5d376fa67

Observation 6e249306-266e-478a-ac6b-c035aa77ec84 · inbound

Relational Linear Properties in Language Models: An Empirical Investigation cites this paper.

Relational Linear Properties in Language Models: An Empirical Investigation A Primer on the Inner Workings of Transformer-based Language Models

Reference 4

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arxiv_id, observed 2026-05-22T07:46:14.986084Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d9ed1830-ba6f-45ca-8190-44260ed1cec7 · inbound

Relational Linear Properties in Language Models: An Empirical Investigation cites this paper.

Relational Linear Properties in Language Models: An Empirical Investigation A Primer on the Inner Workings of Transformer-based Language Models

Reference 4

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arxiv_id, observed 2026-06-30T17:14:56.759886Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 98d98515-5b4a-422d-aa76-daff08a04ab8 · inbound

Multi-component Causal Tracing in Large Language Models cites this paper.

Multi-component Causal Tracing in Large Language Models A Primer on the Inner Workings of Transformer-based Language Models

Reference 28

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arxiv_id, observed 2026-07-02T01:36:24.919128Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T11:52:24.954950Z digest=sha256:87d692cb52b5dfc1f196c11ca57e1559af752b9aa6cf7348daabcd5189942bd9

Observation 8a866893-c40e-4719-84fb-e708dbbc3f9e · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers A Primer on the Inner Workings of Transformer-based Language Models

Reference 72

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arxiv_id, observed 2026-06-28T23:32:46.752725Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T23:29:02.457697Z digest=sha256:5e90fd421e11a49b215740e87b3e29e02aab3813baed2b63238878e9d5b114c4

Observation aa70353b-9fe2-4354-843f-4502b7615ab5 · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers A Primer on the Inner Workings of Transformer-based Language Models

Reference 158

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arxiv_id, observed 2026-06-28T23:32:47.304588Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T23:29:02.457697Z digest=sha256:f3bf1eb69c6ba4062049038dfca02e92ce89c2ff1c1ee9324246313400469c7d

Observation 17b1d4fc-ca74-41a8-81d9-4e6feb7269e5 · inbound

DECSELFMASK: Leveraging Unlabeled Text via Self-Relevance-Guided Masking for Decoder-Only Classification cites this paper.

DECSELFMASK: Leveraging Unlabeled Text via Self-Relevance-Guided Masking for Decoder-Only Classification A Primer on the Inner Workings of Transformer-based Language Models

Reference 4

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arxiv_id, observed 2026-07-03T01:27:30.553886Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 630106ce-c732-46c8-a961-19f73307ba2a · inbound

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? cites this paper.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? A Primer on the Inner Workings of Transformer-based Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:19:57.641510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T00:47:00.310205Z digest=sha256:4cf9f7e55b3f1ceaa0b516fdb267e8c2deeca1e62132a01fa75945375a39f6fc

Observation 6489dc32-5b72-4f04-a3da-eb0acccce6a4 · inbound

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption cites this paper.

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption A Primer on the Inner Workings of Transformer-based Language Models

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:47:27.188119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:2e1ff2dd65f76e8a2bf26c22ad7f5c152c09ebe1235b102aadef526e80d03b58

Observation b8170ba8-a3cf-4660-ae68-63ce9d7b66b4 · inbound

Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs cites this paper.

Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs A Primer on the Inner Workings of Transformer-based Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-14T09:09:29.470093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:09:29.470093Z digest=sha256:0aacd943c546634c3e6b8c2aec2f0b5bd74e80dd046f64ca782303a89d83b0bb