Paper Citation Record · LEDGER

RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2205.12035.

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

pith.paper-citation-record.v1
2205.12035 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:33:45.925426Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T13:24:32.231221Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 4dddbca4-c7a1-4f1a-86f3-792ac3f48ce7 · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:24:32.234471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 88ea327b-3e05-4ee5-81bd-fad767df586e · inbound

Does Self-Attention Need Separate Weights in Transformers? cites this paper.

Does Self-Attention Need Separate Weights in Transformers? RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T05:33:45.925426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b54347b-b87c-4dfe-931f-228e34fd9c6f · inbound

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain cites this paper.

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T05:22:25.041015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d02b6db-f70b-4d89-a035-d6be8c89cee1 · inbound

LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.

LLMs are Also Effective Embedding Models: An In-depth Overview RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:02.008363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4c9de9-0949-4475-baaf-315313bd67ef · inbound

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap cites this paper.

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T17:10:07.124560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52fa9d98-75da-47a9-b018-3aa203ff4094 · inbound

Provence: efficient and robust context pruning for retrieval-augmented generation cites this paper.

Provence: efficient and robust context pruning for retrieval-augmented generation RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T13:43:43.849630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24c5a142-92d8-428e-882b-a9e6443318ef · inbound

Retrieval-augmented Large Language Models for Financial Time Series Forecasting cites this paper.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.258282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f2131ff-d839-4823-879b-8d202e038a3c · inbound

HyReC: Exploring Hybrid-based Retriever for Chinese cites this paper.

HyReC: Exploring Hybrid-based Retriever for Chinese RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:07.685801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 603beeba-0ff1-42ae-8345-fc056fe0308c · inbound

A Comparative Study of Specialized LLMs as Dense Retrievers cites this paper.

A Comparative Study of Specialized LLMs as Dense Retrievers RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:17.559134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99832e11-fd86-4a71-8ce3-a65a9c4bb9ca · inbound

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection cites this paper.

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T17:30:00.412279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb74fcb4-b788-4f84-bc37-cede79d2a900 · inbound

Mutual Linearity in and out of Stationarity for Markov Jump Processes: A Trajectory-Based Approach cites this paper.

Mutual Linearity in and out of Stationarity for Markov Jump Processes: A Trajectory-Based Approach RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T09:07:18.453118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b4967d-2c73-4c4e-b9f2-10db54b76d48 · inbound

Data, Not Model: Explaining Bias toward LLM Texts in Neural Retrievers cites this paper.

Data, Not Model: Explaining Bias toward LLM Texts in Neural Retrievers RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:41:04.985020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edecf1f7-534b-45bb-a32f-9247d279ab7e · inbound

Benchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders cites this paper.

Benchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:26:01.004719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 695bbdce-4f8a-4cd0-aa37-8ac0b290d1f6 · inbound

Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval cites this paper.

Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:21:25.976863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53857998-f47c-40b9-bfa8-8b1c804b38c0 · inbound

Separating Representation from Reconstruction Enables Scalable Text Encoders cites this paper.

Separating Representation from Reconstruction Enables Scalable Text Encoders RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T22:20:52.422988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.